Month: November 2021
The Impact of Food Marketing on Children
A study by the National Health Examination Survey (NHES) concluded that even after controlling variables such as race, prior obesity, and socio-economic status, among children aged twelve to seventeen, the prevalence of obesity increased by 2% for each additional hour of TV watched (Dietz & Gortmaker, 1985). Another study by Dietz and Gortmarker in the 80’s took a survey of a nationally representative sample of 700 kids ages ten to fifteen and concluded “the odds of being overweight were 4.6 times greater for youth watching more than 5 hours of television per day compared with those watching for 0–1 hour” (Gortmarker, Must, Sobol, Peterson, Colditz, & Dietz, 1996).
A longitudinal cohort study of children aged six to fourteen concluded findings that children at age six who spent more than 120 minutes/day watching TV were less active and had higher body mass indices at ages eight and ten, than children who watched less TV at age six (Hands & Chivers, 2011). Lastly, a qualitative analysis taken from the International Journal of Behavior Nutrition and Physical Activity conducted 232 studies of 983,840 five to seventeen-year-olds and revealed a dose-response relation between increased sedentary behavior and unfavorable health outcomes. Through a meta-analysis of their studies, they revealed a 13% increase in the risk of childhood obesity for every additional hour/day of watching TV (Tremblay-Gorber et al., 2011). As a result, these studies reveal insight that when children are not encouraged and motivated to engage in physical activity and are instead glued to a television set the results have not shown to have positive outcomes. However, in opposition to this view, as we continue to research sedentary behavior versus physical activity other researchers have actually presented findings that discredits a correlation to be true.
A journal titled Physical Activity and Sedentary Behaviors In Youth: Issues and Controversies, sought to conduct studies to specifically investigate if key sedentary behaviors, such as watching TV, displaced our youth from engaging in physical activity. One of their studies surveyed 2,494 children, in the US and UK, aged eleven to fifteen years old and had them complete a physical activity checklist that included active and sedentary behaviors. By using cluster analysis their key discoveries concluded that both boys and girls showed little relationship between physical activities and sedentary behaviors. For example, girls who had the highest TV viewing and telephone usage were also still shown to be reasonably active.
Their findings suggested that sedentary behaviors like watching TV were not necessarily obstacles for adolescents to engage in active behaviors. By watching TV they were not completely displaced to physical activity therefore concluding TV viewing did not show a significant relation to active behavioral patterns. Instead, their findings highlighted the facts that there is indeed time for youth to engage in both behaviors (Biddle, Gorely, Marshall, Murdey, & Cameron, 2004). Alternatively, it is not the sedentary behavior only at fault for why TV contributes to pediatric obesity. It is in combination with unhealthy food advertisements and the mindless consumption of unhealthy foods while watching TV that truly contributes to the risk of obesity for children.
The main goal of any advertising is to entice the viewer to become interested in their product and ultimately obtain a purchase, thus it should come at no shock that food-based advertising on TV influences when, how, and what people, especially children, choose to eat. When food advertising have been researched to account for the largest percentage of ads on TV in all countries, its effects are truly worldwide. (Guran & Bereket, 2011) In a behavioral study researchers discovered although parents are responsible for buying goods to be eaten at home the food they chose to purchase is directly influenced by their children’s requests. When unhealthy foods are frequently advertised to children these items become their frequent desire. Not only does the effects of watching TV highlight their food choice but also contributes to their ability to resist temptation when presented these foods (Harrison & Marske, 2011).
The success that advertising companies gain from targeting children must be true when the number of commercials exposed to our youth continues to increase over time. Researchers in the late 1970’s estimated that children on average watched about 20,000 TV commercials in a single year. In the late 1980s this number increased to more than 30,000 commercials in a year (Story & French, 2004) In more recent times, in the 1990s, this number increasingly rose to more than 40,000 commercials a year. (Kundel, 2001) This continual increase in the number of ads being exposed to our youth has made them prime targets for many of these ads. Due to the fact that children are highly impressionable and susceptible to their environment these constant bombarding of commercials make our young vulnerable to the messages and products being advertised to them.
The American Psychological Association generalized that 50% of all advertisements on children’s shows were based on unhealthy food and these influences have led children to develop very unhealthy eating habits. When breaking down the types of ads that were targeted to children during these shows the following statistics were concluded: 34% of ads were on candy/snacks, 28% on cereal, 10% on fast food, 4% on dairy products, 1% on fruit juices, and 0% on fruits and vegetables (APA, n.d.). This ridiculous statistic directly translates to the unhealthy cravings children have after viewing them. An observational study agrees with this finding when it conducted a 19-month study of 500 middle school students, all from ethnically diverse backgrounds. Using linear regression analysis the study discovered that each additional hour of television that was viewed per day correlated with a decreased amount of servings for fruits and vegetables among these adolescents. (Boynton-Jarrett, Thomas, Peterson, Wiecha, Sobol, & Gortmaker, 2003). Therefore, our children are not getting their recommended amounts of fruits and vegetables because their unhealthy cravings are heavily influenced by the foods they see on TV.
This influence, or better term hypnosis, of what foods children desire to eat was shown to be true in experimental studies as well. One study developed a randomized controlled trial for a group of children aged two to six years old in Head Start. They divided the sample into two groups showing both popularized children’s cartoons. The difference in these groups was clear. One group was shown the cartoon embedded with commercials while the other group saw the cartoon with no commercials at all. When they were asked to choose their preference between similar pairs of products, the group of children who viewed the commercials were significantly more likely to choose the advertised products versus the group who were uninfluenced (Borzekowki & Robinson, 2001). This demonstrates that children’s choice of products was not their own preference at all, but the constant exposure to advertisements and images they frequently saw on TV.
Not only are children hypnotized and influenced to want what they see advertised on TV, but even worse some develop misconceptions about what they believe to be healthy based on what they learn on TV. Very early studies in the ’70s showed results that 70% of children aged six to eight years old thought fast foods were more nutritious than a home-cooked meal. (Donahue, Meyer, & Henke, 1978). As well, several years later another study was conducted taking a group of 4th and 5th graders. They were shown a variety of similarly paired food items, one being a healthy option next to a very similar but unhealthy food option. Through this study, children that watched more television were significantly more likely to choose the unhealthy choice as the food they believed to be healthy over the actual healthier food option (Signorelli & Staples, 1997).
Therefore the constant exposure of unhealthy food advertisements during children’s television shows is a huge factor for why children have misconceptions about their food choices and why they request/crave these popularized unhealthy foods. Even the actual images of their favorite cartoon characters plastered on these food products in the grocery store add to the constant appeal and must have a desire for our impressionable kids to consume these unhealthy foods. The true overkill to not only craving these unhealthy foods is the actual mindless consumption of these foods that occur while watching TV.
Research has shown that watching TV has had a strong effect on the food intake patterns of adolescents (Olafsdottir et al., 2014). Not only does it have a strong effect, but a huge portion of calories that children consumed occur while watching TV (Matheson, Killen, Wang, Varady, & Robinson, 2004). This consumption is not a result of internal cues like hunger, but more so a distraction or trace of not paying attention to their eating habits due to external TV cues (Wansink, 2010). When children watched TV, natural eating habits are disrupted and typically lead to an increase in energy intake. Several laboratory studies have found that children consumed a significantly more amount of food when watching a continuous TV program versus when they weren’t watching TV at all (Temple et al., 2007).
Their cue to stop eating results from the end of a TV show versus the internal cue of being full. In a systematic review of 24 independent samples of children, the researcher concluded watching TV had a positive association with consumption of energy dense snacks, drinks, and fast foods, while also having an inversed association with the consumption of fruits and vegetables (Pearson & Biddle, 2011). In a cross-sectional study of 2,546 students, researchers discovered that on average 1 hour of watching TV equaled the consumption of about 130.6 calories. As well these adolescents watched between 19 and 25 hours of TV a week and only 3.5% of them generally refrained from eating a snack during this TV time (Van den Bulck & Van Mierlo, 2004). As a result, the mindless consumption of unhealthy food that occurs when children watch TV is yet another reason why watching TV is contributing to weight gain in adolescents, which can then even translate to their eating habits as adults. Thus, necessary steps need to be taken during these early developmental periods to reverse this negative impact that TV is having on our youth and allow them a foundation of healthy habits that they can grow and build upon into adulthood.
While it can be hard for parents to completely take the TV out of the lives of their children, a way we can improve children’s health in terms of obesity is to actually use TV to reverse its effects and promote healthy eating behaviors and active lifestyle choices for our youth. A major contribution should first aim to reduce and regulate the unhealthy food-based ads that are targeted to children. In 2006, the Council of Better Business Bureaus (BBB) and several leading food/beverage companies actually made strides toward this goal.
They launched the Children’s Food and Beverage Advertising Initiative (CFBAI) to commit to at least 50% of their targeted children’s ads to encourage/promote healthier “better for you” products (Peeler, Kolish, & Enright, 2009). While this is a great start and has resulted in successfully decreasing the amounts of calories, sugars, saturated fats, trans fat, and sodium in ten product categories (BBB, 2011) there are still many other companies not on board with this goal. It is necessary to have this standard across all food companies to truly ensure the same message is being relied to our youth at all times. If companies do not want to change the food products they offer, at the very least, it is necessary for these food items to not be seen or promoted in any children's commercials or TV shows. This would truly allow children to thrive in a non-toxic environment and if we increase commercials to only show healthy food choices on TV would allow children to have the exposure/influence to choose good, healthy food options that would promote healthy bodies.
In removing these toxic advertisements from children's shows another great solution would be to encourage physical activity while watching TV in a solution I like to call movement commercials. Whether it be funded by public service announcements or individual companies wanting to promote their cartoon characters, actors, or music this movement commercial would entice the viewers to take a break off the couch and move. Dance challenges have been a huge craze on social media and these movement commercials would mimic just that. An upbeat familiar song would play and children’s favorite TV characters would show up on screen to begin to teach them a series of moves to mimic.
Each commercial would feature only a few set of moves so that once viewed with repetition they can build a dance for the child to learn and perform with friends. In addition to dancing there can even be sports/fitness-related activities, approved to be able to do indoors, that would offer kids a challenge they must complete before the commercial is up. This can range from how many jumping jacks can they do before the commercial is over, to how many lunges can they complete, how many burpees can they do, or even how low can they squat before falling down. The main goal is to utilize familiar faces, feature exciting popular songs, and allow children to see their idols being silly, having fun, and being active. Having this exposure to take a break and get up and move would promote physical activity behavior outside the TV set and take away from the ability to indulge in mindless eating.
Conclusion
In retrospect, there are truly numerous and multifaceted factors that result to television’s role in contributing to the obesity epidemic in our youth. These factors all touch topics of psychological, social, environmental, and behavioral dispositions that create tendencies to not only increase sedentary behavior but caloric intake as well. It’s the impact of how all these factors come together as one when turning on the TV set creates the in-escaping truth of how unhealthy behaviors are promoted on TV. It’s time for us to step up and remove these negative exposures and instill positive outcomes for change. We should all want our youth to have the foundation to build a healthy life thus it is our job to make sure they have the tools to do so. Instilling a thirst for healthy foods, movement, and being active while watching TV can help to reverse the negative outcomes of this sedentary behavior. It may seem like a small change but with the reach and influence television has on children and even adults worldwide harnessing this reach for a positive outcome can only reap positive benefits. We can work on a means to control obesity, thus let’s begin by controlling what we show on TV.
Cite this page
The impact of food marketing on children. (2021, Nov 26).
Retrieved November 3, 2025 , from
https://studydriver.com/2021/11/page/4/
The Disease of our Century Obesity
A fat juicy burger, a side of crispy fries, and a creamy ice cream cone to finish it off - this is a common fast food meal at Mcdonald's. This whole meal comes to a whopping total of just under five dollars, making it easy to feed a whole family. It is easy to turn to fast food because of the tasty, convenient, and cheaply priced food. Ordering a salad off the menu is a lot more expensive which makes eating healthy difficult. An increasing number of children are suffering from obesity because of lack of physical activity, unhealthy eating, and genetics.
According to the Centers for Disease Control and Prevention, obesity now affects 1 in 5 children and adolescents in the United States. Obesity is a rapidly growing problem, especially in the United States. Dr. Amar Chadaga, who specializes in the study of obesity, says it has been proven that obesity dramatically beat the other leading causes of preventable death. (Brenza, 2012) Obesity is the leading cause of strokes, and many other health problems including high blood pressure, asthma, and heart disease. Although there are resources out there, greater measures need to be taken to solve the obesity epidemic. Childhood obesity is a major crisis in the United States, and the problem will increasingly get worse if we don’t do something about it now. Changes in school
Another possible solution to the obesity epidemic is increasing the cost of junk food and decreasing the cost of healthy food. According to a consumer report published in 2016, Americans eat an average of 4 to 5 commercially prepared meals per week (Larned, 2017). Fast food is a common meal because it is cheap, convenient, and delicious. Fast food restaurants like Taco Time, Wendy’s, and Panda Express are capitalizing on the American love of fast delicious food. The price of fast food makes it easy to be a consumer of fast foods. If you look at the typical fast-food menu, healthy foods are frequently priced at 3-4 times the price of the less healthy fare.
For the past four years, South America has operated a program called HealthyFood. Those who are a member of HealthyFood receive a 25% rebate on healthy foods in supermarkets nationwide. So far, over 300,000 middle-income South Americans are actively participating. Using data from grocery clerks, it was found that an estimated “25% rebate on healthy foods raises the share of the healthier foods that program participants buy by 9%, while cutting the share of less desirable foods by 6%.” (Sturm). The results from this program show that this is an effective way to promote healthy living. By raising the cost of calorie rich choices and lowering the cost of low calorie alternatives, healthy food would be considered more heavily. This solution is what larger industries can do but what can schools do?
The D.A.R.E (Drug Abuse Resistance Education) program was the Nation’s most popular substance-abuse prevention program. The program was taught in elementary schools as a way of educating and scaring children about the harmful effects of drugs and alcohol. Videos of smokers whose life had been ruined by the destructive effects of drugs were presented to the class. This method could also be used to educate children about the dangers of unhealthy food and sedentary lifestyles. Preliminary work presented at the 2017 Society of General Internal Medicine Annual Meeting concluded that the top three causes of preventable death are obesity, diabetes and then tobacco.
The fatalities from tobacco use over the last year have decreased while the fatalities from obesity related illnesses have increased (Brenza, 2017). Since obesity is now the leading cause of preventable death instead of tobacco, it should be taught in schools. The program would have someone from the health department come into the classroom once a week. Presentations, videos, and different guest speakers would come and educate students on the negative consequences of obesity. Students would also be educated on proper nutrition and how to live a healthy lifestyle.
Schools already offer incentives for reaching academic goals, similar incentives could be used to reinforce activity-based behavior. For example, at the beginning of every week the student would receive an activity log. The back of the activity log would have possible activities including healthy eating, hydration and activity. Each activity would be a certain amount of points, being weighed by their level of difficulty. . The front of the activity log would have a place to add up daily totals accompanied by a parent signature. Each student would create realistic individual goals and be rewarded for meeting those each week. A nutritionist could sit down with each kid and their parents and create a healthy diet and exercise routine that fits the individual's needs. Rewards would include getting early out of school, experiential experiences like hiking, walks and field trips. This reward system would work because it provides motivation and gives them goals that are attainable. Children are naturally driven by rewards and positive peer pressure. This system would support healthy living in students.
“If you get 100% on your spelling test you get a candy bar!” or “If you do well in your soccer game we can get ice cream.” are common examples of how food is used as a reward system for children. This seems like a normal system but in reality it's doing more harm than good. Once a child is continuously rewarded with sugar for doing something hard it becomes engraved in their brains. According to Carolina Jantac who is a registered nutritionist “When you were a child you were taught to relate feeling happy and excited with eating sugar. Therefore, when you are feeling sad or yearning that state of mind of happy thoughts, you reach to sugar to deliver it” (Jantac, 2014).
The other issue that arises when you turn sugar into a reward system is that children will associate the feelings of being happy and accomplished with sugar. This is wired into their brains for life and their minds instantly turn to food when dealing with something hard. It is not unusual for humans to turn to food when dealing with stress or major life changes. It is still okay to indulge every once in a while in treats and candy, but the connection between sugar and rewards needs to be broken. Teaching children young that you should not turn to food to cope could greatly benefit their health in years to come.
In elementary school, it is common for a teacher to reward the kids with a treat after taking a hard test. Another way to handle this situation could be to reward children with extra recess or let them run a lap outside. Children should be taught that the best reward is a reward that involves rewarding your body not your sweet tooth. For example, after students complete a test the normal reward would be a lollipop or a piece of chocolate, instead; they could be rewarded with a 10 minute break outside. In Fayette County, a group of advocates consisting of students and teachers went to the school board to protest against giving students treats as rewards.
The group proposed that the school “not be able to use food or beverage as a punishment. And if more than one item is served at a school or classroom celebration, they proposed that at least half of them meet federal guidelines for healthy snacks” (Meehan, 2014). It is understandable that parents and teachers are concerned about the amount of treats and snacks being given to children at school. Josh Radner, who is a teacher and a parent, said that because food was used as a reward in classrooms, his son had developed a taste for, “a whole new range of foods I prefer he eat less of.” Schools should be promoting healthy living and not rewarding students with treats. If teachers do want a reward, extra long recess and other outdoor activities should be rewarded instead.
Schools are a large part of children’s lives which is why it’s critical that healthy living is well promoted. According to the National Farm to School Network more than 30 million children eat school lunch everyday and over 77% of these children come from impoverished homes. This statistic shows that what children eat at school has such a big impact on their lives. It is critical to create lifelong nutritional habits in school. Nutritionist Isobel R. Contento reports on the success of programs connecting schools to local farms. The farms supply the school with fresh produce making their meals healthier and fresher.
Centers for Disease Control and Prevention recommend making fresh fruit and vegetable stands in place of vending machines. Easy and convenient access to fresh fruits and vegetables would greatly increase the chances of people choosing the healthier route. Not only would this idea be supporting local farms, it would also be helping schools become more healthy. For example, for breakfast the cafeteria could serve fresh scrambled eggs with sausage, a banana and fresh apple juice. Lunch would consist of a dark green garden salad with a homemade dressing. These meals are dramatically healthier than the meals being served in the cafeteria today. Children need to be taught the importance of real food that is not artificially manufactured in a factory. Schools play a large role when it comes to the health and well-being of their students, which is why schools should buy their food from local farms.
The obesity epidemic is a major crisis in the U.S today, resulting in nearly 600,000 fatalities per year. Many families turn to fast food because of the tasty, convenient and cheaply priced food. Ordering a salad off the menu is a lot more expensive which makes eating healthy difficult.An increasing number of children are suffering from obesity because of lack of physical activity, unhealthy eating and genetics. The fatalities from obesity have increased while the
fatalities from tobacco have decreased, making obesity the number one cause of preventable death. Childhood obesity is a major crisis in the United States, the problem will increasingly get worse if we don’t do something about it now. Educating children in a similar way as the D.A.R.E program, making healthy food less expensive than junk food, are possible ways of preventing this nationwide epidemic.
Cite this page
The disease of our century obesity. (2021, Nov 26).
Retrieved November 3, 2025 , from
https://studydriver.com/2021/11/page/4/
The Number of Calories Consumed should not Exceed the Number of Calories Burned
When a person’s caloric intake is greater than the amount of calories burned, excess fat is stored. The abundance of this excess fat is what causes a person to be obese. Obesity is medically defined as a health condition in which the excess amount of fat starts to affect a person’s health and body conditions. People often associate obesity with overconsumption of food and poor dietary choices however, as this may be one of the leading causes, other factors play a huge role in whether someone is more susceptible to becoming obese.
For example, prenatal conditions, dietary choices, genes, and hormones weigh heavily on the likelihood of some becoming obese. Furthermore, obesity does not limit a person to only being “fat”, it’s a gateway for many other diseases and disorders that result from this. It is stated in paragraph one of “The Epidemiology Of Obesity” that obesity is a “multi-factorial disorder, which is often associated with many other significant diseases such as diabetes, hypertension and other cardiovascular diseases, osteoarthritis and certain cancers”. (Hruby, 1)
Obesity can also defined simply as excess body weight for height. Obesity greatly increases risk of chronic disease morbidity namely disability, depression, type 2 diabetes, cardiovascular disease, certain cancers and mortality. Childhood obesity results in the same conditions, with premature onset, or with greater likelihood in adulthood. Thus, the economic and psychosocial costs of obesity alone, as well as when coupled with these comorbidities and squealed, are striking.
It is a perplexing, multifactorial, and to a great extent preventable illness influencing, alongside overweight, over 33% of the total populace today. On the off chance that mainstream patterns precede, by 2030 an expected 38% of the world's grown-up populace will be overweight and another 20% will be corpulent. In the USA, the most critical projections dependent on prior common patterns point to over 85% of grown-ups being overweight or large by 2030. While development inclines in by and large corpulence in most created nations appear to have leveled off, horrible heftiness in huge numbers of these nations keeps on climbing, including among kids. Likewise, stoutness commonness in creating nations keeps on inclining upwards toward US levels.
In the USA, ongoing evaluations show that stout men are thought to bring about an extra US$1,152 every year in medicinal spending, especially because of hospitalizations and physician endorsed drugs, contrasted with their non-fat partners, while corpulent ladies cause over twofold that of hefty men, an extra US$3,613 every year in restorative spending (year 2005 qualities). Extrapolating these expenses to the national dimension, creators gauge some US$190 billion every time of human services spending, roughly 21% of US social insurance consumptions are expected to treating corpulence and weight related conditions.
Both hereditary and natural variables are engaged with the etiology of weight and the related lipid aggravations. We decided if procured heftiness is related with changes in worldwide serum lipid profiles free of hereditary factors in youthful grown-up monozygotic (MZ) twins. Solid MZ sets grating for stoutness (10 to 25 kg weight distinction) and ten weights concordant control sets matured 24– 27 years were distinguished from an expansive populace based investigation. Insulin affectability was evaluated by the glycemic clip method, and body synthesis by DEXA (% muscle to fat ratio) and by MRI (subcutaneous and intra-stomach fat).
The worldwide portrayal of lipid sub-atomic species in serum was performed by a lipidomics methodology utilizing fluid chromatography coupled to mass spectrometry. Heftiness, free of hereditary impacts, was fundamentally identified with increments in lysophosphatidylcholines, lipids found in proinflammatory and proatherogenic conditions and to diminish in ether phospholipids, which are known to have cell reinforcement properties. These lipid changes were related with insulin opposition, a pathognomonic normal for gained heftiness in these youthful grown-up twins. Our outcomes demonstrate that stoutness, as of now in its beginning periods and free of hereditary impacts, are related with pernicious modifications in the lipid digestion known to encourage thermogenesis, aggravation and insulin opposition.
PHYSICAL HEALTH IMPACTS:
A portion of the co-morbidities identified with overweight and stoutness incorporate malignant growths (tumors of bosom, endometrial, ovarian, colorectal, esophageal, kidney, pancreatic, prostate), Type 2 diabetes, hypertension, stroke, Coronary Artery Disease, Congestive Heart Failure, asthma, perpetual back torment, osteoarthritis, pneumonic embolism, gallbladder malady, and furthermore an expanded danger of incapacity. This prompts in excess of three million passing’s worldwide every year.
There is additionally predictable relationship among overweight and heftiness in youth and immaturity with expanded danger of both untimely dreariness and mortality especially cardio-metabolic dismalness.
It is evaluated that in industrialized nations, handicaps because of stoutness related cardiovascular infections will increment, under an expanding trend. The principal reason is the expanded survival of these patients with cardiovascular sicknesses in these nations. Additionally, in light of deficient insulin supply in these nations, inability because of weight-related and type 2 diabetes will likewise increment because of arteriosclerosis, nephropathy and retinopathy. Yet another related medical issue because of expanding predominance of heftiness will be the quantity of years that patients experience the ill effects of stoutness related bleakness and handicap which would likewise build significantly. Studies have affirmed that corpulence is a noteworthy general medical issue that results in diminished future particularly in more youthful age gatherings. BMI itself, even without thinking about the other anthropometric measures (e.g., midsection outline, abdomen to-hip proportion), is a solid indicator for by and large mortality.
IMPACT ON MENTAL HEALTH:
The connection among stoutness and emotional well-being issues isn't clear. In any case, being overweight is a shame and the stoutness separation can prompt some psychological issues. Logical proof lays accentuate on an expanding danger of low confidence, disposition issue, persuasive disarranges, eating issues, hindered self-perception, relational correspondence issues and all these straightforwardly or in a roundabout way influence the personal satisfaction.
Then again at times, encountering corpulence segregation has led to the advancement of psychopathology and weakness conduct that through an endless loop, will upgrade their indulging, bulimia, or other related issues.
A few investigations have uncovered that corpulence in the two people increases the danger of poorer sexual health. Obese people, credit this to their appearance and their weight, and experience visit challenges in their sexual exercises. Sexual action and sexual wellbeing results, for example, sexual fulfillment, unintended pregnancy, and fetus removal have been referenced as important issues. Sexual personal satisfaction is especially disabled for hefty ladies who are additionally looked with multifaceted nature of the remedial strategies.
Diabetes:
Overabundance weight and diabetes are so firmly connected that the American Diabetes Association suggests doctors test for sort 2 diabetes and evaluate danger of future diabetes in asymptomatic individuals =45 years old essentially in the event that they are overweight/stout, and paying little mind to age on the off chance that they are seriously large . Overweight raises danger of creating type 2 diabetes by a factor of three, and stoutness by a factor of seven, contrasted with typical weight. Overabundance weight in youth and in youthful adulthood and weight increase through right on time to mid-adulthood are solid hazard factors for diabetes. While only one out of every odd overweight/large individual has diabetes, some 80% of those with diabetes are overweight/stout. Stoutness itself raises diabetes hazard even without other metabolic deregulations (insulin opposition, poor glycemic control, hypertension, dyslipidemia).
Heart and Vascular Diseases:
Ischemic coronary illness and stroke are the main sources of death in the USA and comprehensively. Overabundance body weight is a notable hazard factor for coronary illness and ischemic stroke, including their commonplace precursors—dyslipidemia and hypertension. Ongoing examinations have reliably demonstrated that kindhearted heftiness seems, by all accounts, to be a legend; overweight obviously adds to danger of coronary illness and stroke past its suggestions for hypertension, dyslipidemia, and dysglycemia.
Given youth heftiness rates, explore has of late centered on the job of stoutness in early life and ensuing adulthood illness. Heftiness in youth or on the other hand youthfulness has been related with twofold or higher danger of grown-up hypertension, coronary illness, and stroke.
Cancer:
An expected 6% all things considered (4% in men, 7% in ladies) analyzed in 2007 were inferable from stoutness. Past being a noteworthy hazard factor for diabetes, which itself is a hazard factor for most malignancies, corpulence has for some time been comprehended to be related with expanded danger of esophageal, colon, pancreatic, postmenopausal bosom, endometrial, and renal tumors. All the more as of late, proof has aggregated that overweight or potentially heftiness raise danger of tumors of the gallbladder, liver, ovaries (epithelial), and propelled malignant growth of the prostate, and also leukemia.
Trauma and Infection:
A study in Pennsylvania (USA) trauma centers (2000–2009) showed that in-hospital mortality and risk of major complications of surgery were increased in obese patients as compared to non-obese patients. Severely obese patients had upwards of 30% increased risk of mortality from their trauma than non-obese patients, and double the risk of major complications. Severely obese females also had more than double the risk of developing wound complications, and quadruple the risk of developing decubitus ulcers (117). A recent meta-analysis of obesity in trauma care concluded that obesity was associated with 45% increased odds of mortality, longer stays in the intensive care unit, and higher rates of complications, and tended to associate with longer durations of mechanical ventilation and longer stays in the hospital overall, compared to non-obese patients, despite equivalent injury severity.
Economic Burden of Obesity:
In the USA, ongoing assessments show that fat men are thought to cause an extra US$1,152 every year in medicinal spending, especially because of hospitalizations and physician recommended drugs, contrasted with their non-hefty partners, while stout ladies bring about over twofold that of large men, an extra US$3,613 every year in therapeutic spending (year 2005 qualities). Extrapolating these expenses to the national dimension, creators gauge some US$190 billion every time of social insurance spending, roughly 21% of US human services consumptions, is expected to treating heftiness and corpulence related conditions
There are more hefty US grown-ups than the individuals who are simply overweight. As per an examination in The Journal of the American Medical Association (JAMA), in 2008, the stoutness rate among grown-up Americans was assessed at 32.2% for men and 35.5% for ladies; these rates were generally affirmed by the CDC again for 2009– 2010.
Obesity rates are expected to increase further:
OECD projections demonstrate a consistent increment in stoutness rates until something like 2030. Stoutness levels are expected to be especially high in the United States, Mexico and England, where 47%, 39% and 35% of the population individually are anticipated to be hefty in 2030. Despite what might be expected, the expansion is relied upon to be weaker in Italy and Korea, with corpulence rates anticipated to be 13% and 9% in 2030, individually. The dimension of obesity in France is anticipated to almost coordinate that of Spain, at 21% in 2030. Stoutness rates are anticipated to increase at a quicker pace in Korea and Switzerland where rates have been verifiably low.
Statistics of Obesity in Children/Teens:
- As of 2007, 32% of youngsters matured 10-17 in the U.S. are overweight and 16% are hefty; youth stoutness has dramatically multiplied in the previous 30 years.
- As of 2006, 11% of preschoolers ages 2 to 5, 15% of kids ages 6 to 11 and 18% of young people ages 12 to 19 are overweight;1 starting at 2004, 4% of kids age 2-19 are considered seriously hefty.
- Overweight teenagers have a 70% shot of getting to be overweight or stout grown-ups. This increment to 80% if apparent is overweight or corpulent.
- One out of five American 4-year-olds is viewed as corpulent and the rate is higher among American Indian youngsters, with about 33% of them stout.
- An investigation of 5-to 17-year-olds found that 70% of stout kids had something like one hazard factor for cardiovascular ailment and 39% of corpulent kids had somewhere around two hazard factors.
- As of 2007, 32% of kids matured 10-17 in the U.S. are overweight and 16% are stout; youth corpulence has dramatically multiplied in the previous 30 years.
- As of 2006, 11% of preschoolers ages 2 to 5, 15% of youngsters ages 6 to 11 and 18% of teenagers ages 12 to 19 are overweight;1 starting at 2004, 4% of kids age 2-19 are considered extremely stout.
Conclusion:
In the United States, heftiness is an undeniably hazardous general wellbeing concern. The commonness of weight among U.S. grown-ups has expanded drastically as of late. In 1991, just 12 percent of grown-ups were hefty By 2001, right around 21 percent of grown-ups were stout, speaking to an almost 75 percent expansion. Since this information depend on self-announced stature and weight, heftiness rates are probably much higher than these assessments recommend. Results from the 1999 National Health and Nutrition Examination Survey, which gathers information through clinical estimations, found that around 30 percent of U.S. grown-ups are stout and an extra 34 percent are overweight (Figure 1), showing that just 35 percent of grown-ups are at or underneath a sound weight.2 Even all the more disturbing is the expansion of the individuals who are extremely chubby; that is, the individuals who are 100 pounds or progressively overweight. As indicated by Roland Sturm, a Rand business analyst, around one out of 80 men gauges in excess of 300 pounds, a 50 percent ascend from 1996 to 2000, and one of every 200 ladies gauges in excess of 300 pounds, speaking to a 67 percent expansion.
Cited and Reference:
- 'Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, Calif'.
- https://www.amjmed.com/article/S0002-9343(14)00191-0/pdf
- 'World Health Organization'
- https://www.who.int/dietphysicalactivity/media/en/gsfs_obesity.pdf
- George A. Bray
- The Journal of Clinical Endocrinology & Metabolism, Volume 89, Issue 6, 1 June 2004,
- https://academic.oup.com/jcem/article/89/6/2583/2870290
- 'Medical News Today'
- https://www.medicalnewstoday.com/articles/319902.php
- Journal ListPak J Med Sciv.31(1); Jan-Feb 2015PMC4386197
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4386197/
- 'By Amy Norton'. HealthDay Reporter
- https://www.webmd.com/diet/obesity/news/20180612/us-obesity-rates-rising-again#1
- By Gabrielle Levy, Political Reporter?March 26, 2018, at 3:48 p.m
- https://www.usnews.com/news/data-mine/articles/2018-03-26/sharp-increase-in-obesity-rates-over-last-decade-federal-data-show
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The Role of Parents in Public Views of Strategies to Address Childhood Obesity in the US Summary
In this article, the focus is the public’s views on whether it’s the parents to be blamed/ held responsible for childhood obesity and how the parent’s behavior and choices can influence the success rates/efforts to help put an end to childhood obesity. This article also talked about how obesity is one of the major drivers in increasing health care costs and that the annual health care costs coming from obesity are $147 billion. Then after reading further, it shows that there was a policy support survey put out, the policy support survey measures respondents’ support for 12 policies aimed at stopping childhood obesity that has been considered at the national, state, and local levels. The policies in this support survey were chosen from a review of legislature databases.
What was helpful/non-helpful in this article? This article was helpful to me because it shows how the public views it and who they think is to blame with the rise of childhood obesity, whether it was the school's lunch programs, the lack of government help, the food and drink industries, or the parents. After reading this article, on what the public’s views are, I think it will give me a lot of useful statistics and also possibly help me use it for an argumentative position against the governments’ stance. What wasn’t helpful in this article (and there was only one thing I could think of) is how repetitive it was with stating who is to blame for the spike in childhood obesity, which in the results showed parents were.
Are the Author(s) credible and what is some background information? The first author that I looked up was Julia A. Wolfson; she is a mixed-methods health policy researcher at the University of Michigan. She also has a Ph.D. and an MPP. The second other I looked up is Sarah E. Gollust, she has a Ph.D. and BA. She is also an associate professor, at the University of Minnesota, specializing in the division of health policy and management. Sarah is also a member of the obesity prevention center and the Masonic cancer center. Jeff Niederdeppe is the third author of this article,
He is a professor in the department of communications at Cornel University and has over 100 peer-reviewed articles on communication, health/health policies, and medical journals. He also has his doctorate, Masters, and Bachelor of arts degree. The last person that helped in this article was Colleen L. Barry. She is a professor at John Hopkins Bloomberg School of Public health in the department of health policy and management. She also has her Ph.D., MPP, and BA. So yes, I do believe that this article is credible along with its authors.
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Reasons why you Can Avoid Catching Obesity
3.1 Energy Imbalance
In the past 30 years the obesity is increasing due people shifting to more refined foods and energy dense foods, increase inactive lifestyle like watching T.V, playing video games, computer, urban growth, industrial revolution so long hours sitting work, vehicle culture, economic upturn (Sahoo, K., Sahoo, B., Choudhury, Sofi, Kumar, & Bhadoria (2015). According to Rosiek, Maciejewska, Leksowski, Rosiek-Kryszewska & Leksowski(2015), Watching Television is one of causes of obesity in both adult and children, they spend hours watching television decreases the physical activity level. While watching television people trend to do lot of snaking which increases calorie intake. Croezen, Visscher, Ter Bogt, Veling, & Haveman-Nies (2009) supported this and concluded missing on breakfast and occasionally drinking alcohol also is lifestyle factor that leads to overweight.
The energy imbalance is one the major factor contributing to obesity. Energy balance means amount of energy consumed in a day minus amount of energy utilized by person in a day. The imbalance is leading causes of obesity (Bouchard, 2008).
This energy imbalance occurs due to changes in the diet and lifestyle. Over consumption of energy rich diet and increasing in the portion size, over use sugar containing drinks and snacking in turn causes weight gain. (Jebb, 2004)
There is another accept to the energy imbalance that is “energy gap” is known as amount of change in energy balance point required to maintain specific amount of weight loss. The obesity is increasing as person fail to understand that energy balance point is different in normal and overweight person. Obese person requires more energy expenditure for weight loss. (Hill, Peters & Wyatt , 2009)
According to Chaput, Brunet & Tremblay(2006),Other lifestyle factor that contribute to obesity is lack of proper sleep, duration and quality. This finding is supported by Owens, J., & Adolescent Sleep Working Group. (2014) and stated that improper sleep changes the metabolic profile increases hunger and reduces satiety. This People tend to eat more high dense food, exercise less. Gangwisch,Malaspina, Boden-Albala & Heymsfield(2005) also concluded Sleeplessness reduces leptin hormone and increases ghrelin hormone so eat more and gain weight
3.2 Eating unhealthy food
The other factor leading to over weight is in recent years trend of eating out side have increased. Majority of outside eating place provided food with high energy ,fat and nutritionally unhealthy ( Harnack, Jeffery & Boutelle,2000).
According to Schröder, Fïto & Covas (2007), the frequently eating fast food once a week increase the risk of higher energy intake and lower quality of food. The weight gain and adiposity occurs by eating high glycaemic carbohydrates and trans fat food (S de Ferranti & Mozaffarian,2008).
Drinking soft drinks is also one of leading cause of obesity (Basu, McKee, Galea & Stuckler,2013). Work by Sahoo,K., Sahoo, B., Choudhury, Sofi, Kumar, & Bhadoria, (2015) supported this findings and confirmed that drinking soft drinking lead to overweight .Soft drinks are not stomach filing like food which causes hungry fast end up eating more calories . The study states that drinking soft drinks causes increases in fructose level . Higher fructose causes increase in plasma triglycerides (Bray, 2010). High plasma triglycerides is connected increase in BMI (Makhoul, Kristal, Gulati,, Luick,, Bersamin, O'brien & Boyer, 2011)..
The findings suggest by eating sugar and fat gives a feeling of satiety and pleasure by making neuro chemical changes at brain site (Levine, Kotz & Gosnell,2003). From the other angle eating more calories gives happiness. There are two way by which pathway of over eating works ,one signals from body transmitted blood stream and vagus nerve to hypothalamus and other just by seeing , smell and thought of food stimulate the reward circuit we eat in spite not hungry .This causes over eating lead to obesity (Dagher,2010).
3.3 Lack of Physical Activity
The lack of physical activity is the major causes of obesity. According to World Health Organization every adult should have minimum 30 minute of exercise like running ,walking, swimming, dancing or playing any sport each day and 60 minute of exercise for children(WHO,2000)Obesity is increasing so rapidly is due to the sedentary pattern of life or today adults and children both, they are spending hours watching television and siting on computers . This sedentary pattern causes decrease the amount of time spend on physical exercise. (Sahoo et al,2015). This finding is supported by Sallis & Glanz (2009) and concluded that Sedentary behaviors are those that involve sitting or minimal energy expenditure. Television viewing, computer use, computer games, and driving/riding in cars are some of the largest contributors.
According to Giles-Corti & Donovan (2002), the level of performing physical activity on daily basis is influenced by the surrounding atmosphere , persons personal wish, accessibility to fitness place .Its always seen if the fitness is very near to home or work place is more exactable. Even the surrounding people around u has great influence on physical activity regularity. Also due to urbanization the car culture is increasing so the walking is reduced. According to study spending one hour extra in car increase 6% more chance to be obese. Instead if we walk a mile 4.8% chances to be less obese ( Frank, Andresen & Schmid 2004). The study by Chaput & Tremblay(2009) and Chaput, Brunet & Tremblay (2006) confirmed that due to increase in urbanization and industrialization the level of sedimentary time increased hours of sitting in recent times as there is 24 hour of hectic lifestyle, there are factors like lack of sleep and lack of activity contribute to weight gain.
As per Martínez-González, Martinez, Hu, Gibney & Kearney (1999), people are following the physical activity guidelines to a wide extent but then also obesity increases because we are not counting hours person having sedentary period in a day, that has very huge impact on energy balance. So not only physical activity but sedentary time play major role in obesity epidemic.
3.4 Childhood Obesity Factors
In the past 20 years childhood obesity has increased , environmental factor play a major role. Maternal health, Diet imbalance , lack of physical activity, sedentary lifestyle are the major contributors (Ebbeling, Pawlak & Ludwig 2002). Maternal factors has great influence on childhood obesity. According to Strauss & Knight (1999) obese mother is more likely to have obese child. Oken & Gillman (2008) said that mother smoke during pregnancy have more chances of having obese children. This finding is supported by Gao, Holloway, Zeng, Lim, Petrik, Foster & Lee (2005) and stated that when mother smokes foetus is exposed to nicotine which causes over weight and increases of visceral fat. Eating High sugar and fat food during pregnancy increases more chance of obesity in the child (Samuelsson, Matthews, Jansen, Taylo & Poston,2013). The thing that also add on to it is, television advertisements has major impact on child mind, they tend to make more unhealthy food choice as majority of food product advertise on television are energy dense food (AKTA? ARNAS 2006).
3.5 Excess food availability due to Green Revolution
There is vast increase in the food production due to Green revolution from 1960 to 2000 (Evenson & Gollin 2003). Green revolution means there in increases in production of crop yield, has large decreases the nutritional value of crop and in turn cause deficiency of may mineral and vitamins required for normal body functioning (Welch,2002). And due to that there was increase accessibility to the food, more food choices, cost of food reduced . There was increasing in advertising and marketing strategy stimulated to over eat and the energy imbalance occurred which increases the storage of fat in body due to ever eating. Physiological system of body failed against the verity and novelties of food availability forget the signal from the satiety system. That lead to the epidemic obesity (Cohen,2009).
3.6 Environmental Factor
Environmental factors has major role in this obesity epidemic (Hill & Peters ,1998). In the past few years air pollution is increasing due to industrialization people are more exposed to chemicals (EDCs) which in damages the body weight control mechanism(Baillie-Hamilton, 2002). This conclusion is supported by Kelishadi, Poursafa, & Jamshidi (2013) , they stated that endocrine-disrupting chemical (EDCs) alters the function of endocrine system, specially the weight control hormone system and changing sensitivity to neurotransmitters. Causes increases in adipose tissue and weight gain . Work by Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) and supported this and concluded that other environmental factor that contribute to obesity is gut microbiome, obese people gut microbiome has more capacity to store more energy from food. This in turn increases fat percentage.
The other environmental factor that contribute to excess availability of fast food restaurant, increased outside social dining , size of packaging in stores, limited nutritional information (calorie contact) lead to over eating and obesity (Wansink, 2004).
As per Morland, Roux & Wing (2006) other environmental factor lead to obesity Is availability of food has a great impact. Study says that people have less excess to supermarket and more excess to local stores with limited healthy food resources are more obese.
3.7 Metabolic Factor
Metabolic factor is one of the indirect causes of obesity ( Weinsier, Hunter, Heini, Goran & Sell,1998).According to Allison & Myers (2014), Leptin is hormone which regulates energy intake from the hypothalamus .Its main function is generate satiety signals . Leptin resistance is the cause of increasing adiposity in the body . This finding is supported by Enriori, Evans, Sinnayah & Cowley (2006) and stated that there is hyperleptinemia in leptin resistance people but brain is not able get signal of satiety so leptin resistance people tend to over eat. Obesity induced insulin resistance leads to higher demand of insulin to meet up this demand ?-cells of pancreases increases insulin production, but in the case of prolong insulin resistance ?-cells no longer meet the demand . This leads to increase glucose in blood which causes type 2 diabetes(Van Greevenbroek, Schalkwijk, & Stehouwer.,2013).
3.8 Other Factor
As per study carried out by Loos & Bouchard (2003) hereditary factor responsible for Obesity is genetic . Gene and environment can lead over weight. This is supported by Herrera & Lindgren found that Monogenic obesity is the one of commonly caused gene related obesity. In this the mutations binds the leptin/melanocortin pathway of central nervous system and causes overeating and decreases the satiety signals(2010)
Hill, J. O., & Peters, J. C. indicated that lifestyle factor is the family environment it plays major role in obesity ,particularly childhood obesity .Their eating pattern, level of inactivity and genetic factor(1998).
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Why the Prevalence of Obesity has Skyrocketed
In modern times, the prevalence of obesity has risen dramatically as a result of a multitude of factors ranging from biological to the social. Evolution has contributed not only to the genetic factors influencing fatness, but also to societal norms that shape the culture surrounding food, nutrition, and weight. Obesity levels vary both intra- and internationally based on the cultural and genetic influences acting upon various groups within and between societies. Different socioeconomic groups are disproportionately prone to obesity due to the options, or lack thereof, available to them.
Furthermore, affluent societies such as those in the US and Europe are more prone to higher levels of obesity than those in developing countries. Perspectives on fatness in societies in developing countries also differ vastly from those in heavily industrialized societies due to the different contexts of the social implications of obesity. These social contributors along with genetic influences provide an explanation for the prevalence of obesity in modern societies as compared to historical time periods. In the context of biological influences, behavioral tendencies provide a further explanation behind the rise of obesity in industrialized societies.
Largely shaped by childhood environment, behaviors surrounding food intake during adolescence and adulthood further contribute to the growing challenge of staying fit in today’s world. These behaviors have largely been shaped not only by the environment but also by historical events which have shaped food consumption habits; these historic shifts in food intake norms have shaped the genetic factors which influence obesity and aid in explaining certain individuals’ tendency to become overweight. Obesity, as well as the varying cultural perceptions surrounding it, evolved as a result of a combination of genetics, environmental, and social influences.
There are three ways in which genetics may affect obesity: monogenically, syndromically, and polygenically (Frazier-Wood, Wang 2015). The monogenic model is comprised of differences in a single gene, such as the gene controlling the presence or lack of the OB protein, which regulates body weight by increasing activity levels and basal metabolic rate (BMR) as well as promoting a reduction in food intake through increased satiety or decreased hunger. Syndromic effects result in obesity as a component of a more complex physiological disorder, usually arising from abnormalities in the endocrine system as in Prader-Willi syndrome. Syndromic obesity is usually accompanied by intellectual disability and other impairments.
Finally, polygenic obesity arises as the result of the interactions between many genes that act in conjunction with the environment to result in phenotypic obesity. Polygenic obesity is inheritable but in an unpredictable manner, unlike monogenic obesity. This is the most prevalent manner by which obesity is inherited; it is thought to be the most significant genetic factor in the rise of obesity levels in recent years (Frazier-Wood, Wang 2015). While these factors outline the etiology of obesity on an individual level, the rise of obesity on a larger scale can be explained by examining the evolutionary mechanisms that may have acted upon the gene pool.
On a larger scale, several types of selection may have shaped the way in which obesity affects human evolution as a whole; several theories exist that may explain humans’ tendency to be predisposed to obesity. The first postulates that the trait once provided an adaptive advantage but is now rendered useless in the context of modern society. “Thrifty alleles” would allow certain individuals to better conserve energy in the form of excess fat, allowing them to survive during periods of famine (Speakman 2015). However, food was never available in such excess so even individuals carrying thrifty alleles did not become so overweight to experience the disadvantages of obesity. This is not the case in industrialized societies, so those carrying these thrifty alleles are more likely to develop the health complications that accompany obesity.
The second theorizes that there is neither positive nor negative selection working on genes related to obesity; instead, the condition arose as a result of neutral evolutionary processes such as genetic drift (Speakman 2015). Finally, the third theory describes genes related to obesity as maladaptive; it theorizes that obesity has never conferred an evolutionary advantage, but rather it has arisen as a “byproduct of natural selection on some other [advantageous] trait” (Speakman 2015: 11). Each of these theories exists within the understanding that genes are not the sole contributor to the growing obesity levels in modernized societies; it is the interaction between genetics and behavioral factors that result in obesity within the context of the modern environment.
Throughout most of evolutionary history, cultural perceptions surrounding fatness were generally positive (Brown 1990). This can be evidenced through the positive depictions of obese females in ancient art; some of the oldest known sculptural pieces, such as the Venus of Willendorf, depict excess weight as a sign of fertility and wealth. In the context of the time period, during which obesity was uncommon and its negative impacts on health were unacknowledged, it makes sense that it was seen as a privilege reserved only for the select few who were able to indulge in an overabundance of food.
It is only in recent years that fatness has developed a generally negative connotation, demonstrated by the growing influence of diet culture and negative media portrayals of obesity. However, while obesity is viewed most negatively in more industrialized societies, these are the groups in which it is most prevalent. Yet, although this is not currently the case in most industrialized societies, many developing societies continue to view overweight individuals as healthy and affluent. This is likely due to the cultural belief that obesity is an indicator of wealth in less industrialized societies, as there is a positive association between obesity and social class in developing countries. Conversely, there exists an inverse correlation between wealth and obesity within affluent societies (Brown 1990). The discrepancy is likely due to the accessibility of food, or lack thereof, as distributed among the different socioeconomic classes within a society.
Distribution of obesity among members of a population is not random; it affects genders, ethnic groups, and socioeconomic classes disproportionately. It has been shown that females generally demonstrate a higher predisposition to obesity than males, as there exists a greater proportion of peripheral fat (Brown 1990). Furthermore, industrialization is associated with a trend towards smaller family size, meaning a reduction in number and frequency of pregnancies and breastfeeding in women, thus decreasing expenditure of peripheral fat stores and putting the modern woman at great risk of obesity (Brown 1990).
Additionally, while obesity may be an accurate indicator of wealth in developing countries since access to excess food is a privilege generally reserved for those of higher social status, this is not the case in many industrialized societies. Although for most, there is easy access to an excess of food, there exists a discrepancy between what options are made available to different members of society. In general, those of lower socioeconomic status have less access to nutrient dense, healthy foods and are instead exposed more frequently to less healthy options such as fast and processed food. This disproportionate lack of health food options in lower-income areas is referred to as a “food desert” (Poland 2014).
In addition to this lack of exposure, the healthy options that do exist are generally more expensive, creating a further barrier for low-income families. Because there exists a disproportionate distribution of ethnic groups among social classes, obesity also is correlated to ethnicity in this manner. It is erroneous to assume that particular ethnic groups are more genetically predisposed to obesity than others, but instead certain ethnic groups display a higher proportion of overweight individuals as a result of their socioeconomic positions. Furthermore, the tendency to choose partners within one’s own social class— “associative mating”— also contributes to the concentration of obesity within certain subgroups (Brown 1990).
The rise of the modern economy is positively correlated with the prevalence of obesity in heavily industrialized societies. The rise of obesity lends itself particularly well to economic modernization, which is associated with a decline in energy expenditure due to labor mechanization as well as an increase in caloric consumption due to an increase in accessibility to processed, calorie-dense, and nutrient sparse foods. The modernization of the economy has wide-reaching impacts on food consumption and energy expenditure. The industrialization has lent itself to the minimization of food scarcity and famine through methods such as increased production and more efficient systems of food storage. This in conjunction with a rapid decline in the need for physical labor and a trend towards a more sedentary lifestyle increases the surplus between caloric intake and energy expenditure, making it more difficult for many to maintain a healthy weight.
Historically, several major events contributed significantly to the severe uptick in the percentage of the population classified as overweight or obese. First, the shift from a plant-based to an omnivorous diet lent itself to larger brain size, followed by the rise of agricultural societies which introduced a more sedentary lifestyle that was later expedited by the Industrial Revolution. Four to six million years ago, primate ancestors of humans survived predominantly on a diet rich in plant-based foods, with the most common macronutrient being carbohydrates. However, once other animals became a more viable option for food sources, primitive hominoids became much more reliant on proteins and fatty acids in their dietary intake.
This change in consumption composition allowed for the evolution of a larger brain, as neural development is reliant on fatty acids. As humans began to establish more developed societies, the rise of agriculture provided a second shift in dietary norms, leading to the reestablishment of carbohydrates as the primary macronutrient. Settlement in lands surrounding the Tigris and Euphrates rivers— the “Fertile Crescent”— inspired the beginning of agricultural societies, which quickly spread, allowing humans to abandon a nomadic lifestyle (Pijl 2011). The intensive labor of agricultural work, however, combined with a moderate production of food, tempered the effects of the loss of a traditional hunter-gatherer society for which humans are best adapted. Thus, obesity remained generally uncommon until the dawn of the Industrial Revolution.
In the recent years following the Industrial Revolution, food production did not reach a maximum; in fact, the era of the Great Depression resulted in food shortages. However, because this was accompanied by the mechanization of labor and a decrease in energy expenditure, the average weight in the United States fluctuated little. However, in the years immediately following the Second World War, food production dramatically increased resulting in easy access to calorie-dense diets; simultaneously, energy expenditure remained low.
By 1980, a dramatic increase in obesity levels was observed, predictably accompanied by a higher average caloric intake. Also, in recent years— the past two decades— there has been observed a slowing in the rise of adult obesity, likely due to a more comprehensive public knowledge of dietary needs (Lewis, Basu 2015). Extrapolating from this data, it is likely that as people become more informed regarding healthy relationships with food and exercise, the rate of increase in obesity levels will continue to decrease, any the trend towards high obesity percentages may eventually be reversed. One way in which this may be accomplished is through the improvement of the childhood environment, the growth period within which lifelong dietary habits are formed, and education surrounding healthy relationships with food.
There are five major contributors that shape obesity in childhood, including diet and food environment, physical activity and sedentary behaviors, feeding practices, parenting style, and family routine (Hughes et al. 2015). Children’s relationship with food is shaped largely by the environments to which they are exposed, ranging from that of their schools, neighborhoods, and homes. Food preferences developed at home as a child often lasts into adulthood, which is especially detrimental to children of low-income families, who may not be exposed to healthy options as a result of the convenience of lower-cost but less nutritional items. In schools, while meal programs are highly regulated by local school boards and national standards, items outside the meal programs, such as those sold in vending machines and school stores, are associated with poorer nutritional quality.
Furthermore, neighborhoods in low-income areas are more likely to harbor a greater quantity of fast-food stores and a minimal number of health food options or full-service grocery stores. This disproportionately affects children of low-income families, who are thus more likely to develop a dependence on processed food consumption, a habit that is not easily broken even in adulthood. The attitudes surrounding sedentary behavior and exercise also play a role; children who are encouraged to partake in physical activity are less likely to grow obese.
Thirdly, feeding practices among parents, including the foods they provide and methods by which they feed their children, also greatly affect childhood relationships with food. Children are more likely to respond to “external cues,” such as the expectations of a parent or amount of food left on a plate, rather than to “internal cues” such as feelings of hunger and satiety (Hughes et al. 2015: 8). I expected to clear their plates or to eat a certain volume of food, children are less likely to be attuned to personal feelings of satiety and more likely to eat more in the absence of hunger. Furthermore, authoritative styles of parenting have been shown to be most effective in resulting in positive health outcomes, as authoritative parents “place reasonable nutritional demands… as well as being sensitive to the child’s need” (Hughes et al. 2015: 9-10). The frequency of meals eaten together as a family has also been correlated with lower rates of childhood obesity; the organization of these meals as well as rules and limits on consumption are more easily monitored in a family setting and thus result in an overall healthier diet. These behaviors developed in childhood set the tone for a lifelong dietary structure.
Modern behavioral habits including increased consumption of sweetened beverages and decreased consumption of fiber contribute to the growing epidemic of obesity. The determining factor in weight gain, loss, or maintenance is the caloric surplus or deficit; a diet that is nutrient-dense will likely result in an appropriate caloric intake as nutrient-dense foods promote satiety. Consumption of “empty” foods and beverages such as processed foods and sugar-sweetened beverages result in decreased satiety and thus the consumption of excess calories due to a lack of fullness. Sugar-sweetened beverages not only do little to promote satiety but also contain a high glycemic load, causing increased insulin production and thus resulting in hunger in the hours following consumption of the beverage. Additionally, calorically dense and nutrient-lacking beverages and processed foods are generally low in fiber.
Fiber promotes satiety while containing a relatively small caloric content (Lewis, Basu 2015). Furthermore, low levels of dietary fiber are associated with obesity as well as gastrointestinal, cardiovascular, and other health complications. Behavioral tendencies such as the inclination to choose easily accessible and cheap processed foods, which are usually high in calories and low in fiber, contribute to the lack of satiety and later increased hunger, thus resulting in a tendency to consume excess calories and subsequent weight gain.
The obesity epidemic runs most rampant in industrialized societies due to the modernization of machinery, which minimizes physical labor, and the overproduction of food, which leads to easily accessible excess caloric intake. While the genes linked to obesity may have once been beneficial in traditional hunter-gatherer societies, the advent of agriculture, and later the dawn of the Industrial Revolution, has caused the detrimental effects of obesity to outweigh the positives. Furthermore, obesity affects populations differ based on factors such as socioeconomic status, gender, and genetic predisposition. In addition to the genetic components influencing obesity, environmental factors such as behavioral choices also interact to expedite its development. In recent years, a more comprehensive public education regarding food intake and dietary needs has slowed the rate of increase of obesity levels, especially among more affluent members of society. By becoming more conscientious of relationships with food and dietary practices, a healthier outlook may help to diminish the tendency to become obese and assuage the health detriments associated with excess weight.
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Overview of the Healthcare Policy and Role in Nursing
An exact policy in the health field can allow one or an entire community to obtain specific goals and accolades. This health policy encompasses the decisions, plan and actions that are undertaken to reach the desired goals. This process defines a vision for the future and allows for the road map to achieve the targets and points of reference for the short and long terms (“Health Policy,” 2018).
When dealing with policies in the healthcare field, it is imperative that policies define and integrate the correct standards to the delivery of care and that all conditions crucial for the proper care to occur. The policy addresses different healthcare programs such as finance, quality of health care system, equity of the system and appropriate delivery of health care services. Advocacy plays a very instrumental role in the nursing field. Nursing is more than a profession, it is a calling and it is entirely distinct from other fields because here one is dealing with the lives of people. It is known that nurses who help to influence policy are truly creating a positive future for the quality of care for future generations.
Resource allocation is impacted by policies and should be heavily weighed on the pros and cons before approving all policies (Burke, 2016). If one is an advanced practice nurse, the daily duties include promoting, advocating, rights protection, overall health, and the general safety of all patients (ANA, 2015). Being a patient advocate comes along with many stressors and responsibilities the role of an advanced practice nurse includes many responsibilities, advanced head-to-toe assessment, diagnosis, ordering tests, prescribing medications and treatments for a patient’s health condition, and directing medical management. In addition to these duties, an advanced practice nurse needs to continue to be a patient advocate. Knowing the patient's social life and means to arrive to the appointment, It could also include knowing the patient’s insurance coverage, so they are able to have access for their necessary medications (Hanks, Starnes-Ott, & Stafford,2017)
Obesity is reaching epidemic levels, it has become one of the serious health care concerns not only in the United States but worldwide. An article written by Sahoo & Bhadoria talks about children that are overweight at early stage of life is likely to grow into overweight adolescent and then overweight adult. “ And are more likely to develop non-communicable diseases like diabetes and cardiovascular diseases at a younger age” (Sahoo & Bhadoria,2015). Obesity may not only affect physical health, but has a huge impact on social, well-being, and self-esteem. It is also associated with poor academic performance (Sahoo & Bhadoria,2015). Parents must be very vigilant to notice the occurrence of obesity in a child’s early years and address it appropriately. If this is not done in a timely manner, results are most likely to be immense and unbearable.
Such kinds of incidence are indicators of high blood pressure and high cholesterol levels.(Ralston, Walker, & Truby, 2012). A child can become overweight due to a number of issues or factors. These factors can be identified taking into consideration the lifestyle habits of a concerned child. A child eating junk foods is likely to be overweight (Sjöberg et al., 2012). Physical exercises also play a role in a child being obese. Without the appropriate amount of physical activity, a child will experience health-related issues. Diet also plays an important role and parents must pay a lot of attention in regards to sugary drinks, snack foods, and the amount of food consumed throughout the day.
Body Mass Index is a tool that helps to reveal obesity by simply taking into account such factors as the weight and height of a child. It is the role of a physician to calculate the BMI of a child and provide the results to his/her parents. The calculation involves the use of percentiles, for example, a child with a percentile above ninety-five is considered obese (Sjöberg et al., 2012). BMI of healthy children ranges between five to around eighty-five. As a result, obesity is considered the second leading cause of death in the United States. And more children are developing type 2 diabetes.
The Impact on the Group
No child is proud of being obese and no parent is proud of his/her child being obese. They experience a lot of difficulties at school, playgrounds and in the community in general. Such individuals may develop a lower esteem and result in a number of psychological complexes as they age. Moreover, it is hard for them to make friends and get along with their peers. This leads to reduced quality of life due to major health concerns like type 2 diabetes or high blood pressure. On the positive side obesity is preventable and should not seriously stress the parents. A child who is obese is affected mentally, the quality of his/her life is lower as compared to other children who are not obese. Resulting in a less functional life. The affected children suffer from damages to their body and organs like arteries; moreover, they may develop multiple sclerosis later in life and a feeling of isolation. The advancement of technology is partly to blame, as today most children spend their free time glued to TV or computer screens, playing video games, or playing with their smartphones.
Impact of the Problem of Obesity on the Whole Community
Community is a social unit that comprises of people who live in the same area or share similar values. Therefore, in one way or another, the problem that affects a particular family should be addressed collectively and not individually (Kunin-Batson, Seburg, Crain, Jaka, Langer, Levy, & Sherwood, 2015). The time and place to implement education and outreach programs are now and at the level of the homes, schools, and communities. Obesity is more of an epidemic, expecting the school system to battle this alone is not sufficient. I truly believe this should be a collaboration system. If the parents and children are educated and feel the community support. It enables them to be willing to change their lifestyles.
The proper environment surrounding a child during the early stage of his/her development directly or indirectly influences daily eating habits of the young ones and impacts their physical activity as well (Kunin-Batson et al., 2015).The provision of a healthy food environment also plays a vital role in curbing the problem of obesity; this is done by providing food outlets. Farm to table, have an area at the school where children grow healthy foods and educate them on the meaning of farm to table.Such measures help in the reduction of obesity among children and society at large. Schools must also ensure that children consume a lot of water as opposed to sugar-sweetened beverages and should limit the number of products that contain added sugar and fat. It is important to create a policy to assist in the promotion of the awareness of childhood obesity as a health risk. This policy should implement various strategies aimed at the promotion of healthy living.
Identify an Appropriate Solution to the Problem
Parents need to be aware of what they are consuming in front of their children. Parents are the role models and the ones who take care of their children. They decide what to prepare for their children at meals, all these can directly contribute to obesity in children. Most parents are working and running children from one activity to the next causing them to be tired at the end of the day. Without even realizing they neglect their role of cooking for children . Today most parents buy fast food in between activities. However, they are not aware of the impact of these foods on the young ones. Parents buy quick-ready meals or canned food products high in calories and with low nutritional value. When they do a food shop. Some of the products they buy are high-fat foods that when not appropriately metabolized can cause serious health issues like cardiac problems (Musa et al., 2012). Nutrition education is therefore fundamentally sound for student,parents and the community as a whole. Nutrition educators help in fully eradicating the issue and provide more insight on the matter at hand. They do so by providing forums that helps in equipping both teacher,students, and parents on improved health choices that will improve their lifestyles within a classroom, community and at home.
Physical Activities
Staying fit is not only recommended for people who are obese but for everyone. It helps in making your body organs to function optimally and to keep the body healthy and disease-free. Physical activities help in maximizing energy expenditure of the body. It helps in stabilizing energy balance within the body by burning excess calories. Physical activities help in maintaining a healthy weight and lower the risks associated with heart diseases, diabetes, high blood pressure, and stress among others (Guha, 2013). The problem that is closely related to obesity is a state of the economy of well developed countries like the US.
Most people in these countries are economically empowered and do not see the benefit of exercising. They believe that proper living includes an appropriate diet and traveling to various destinations. Such negligence has soon spread to the representatives of the middle-income class (Guha, 2013). That is why the issue of obesity has become pandemic and if not thoroughly checked our future generation is at risk. As a matter of fact, that is why chronic illnesses have been steadily on the rise. Today, people have become less active as compared to when individuals were very active. Surprisingly the number of those who venture in sports has decreased considerably so people fail to understand where the invariability comes from. Factors attributing to these issues are technology advancement, increased transportation and fewer interactions among people (Guha, 2013). Exercises help an individual to reduce stress and to remain economically sound; this is a motivator aimed at ensuring that fitness routine is appropriately maintained.
All these strategies cannot be implemented alone. Society should learn how to accommodate every individual. These are our brothers and sisters. People should not look down on them but instead, come up with a program in regard to how these people can be helped. The problem can affect anyone in the world (Andersen, 2011). People are therefore required to change their mindsets and be ready to embrace the changes regarding how they live and interact with others. Simple fitness activities can be introduced to help people lose weight without having to engage in strenuous body exercises (Andersen, 2011). The changes should also be geared in maintaining the mood within the family and reducing the rate of break-ups that are unforeseen (Kunin-Batson et al., 2015). In turn the affected families should embrace the change because it creates long-term and short-term benefits.
Being a person who himself had once been obese, he manages to inspire the representative of both genders that our status does not matter at all. It depends on the character of a person as he or she needs to have enough courage to win the elections. Firstly, Dolan just recently manage to take control over his weight/health. He had the required patience and diligence to make a breakthrough.
This action can simply encourage people regardless of their situation that they can overcome any problem and get the results they want. Some of the issues that were advocated by Dolan, included opposing question 2 “ Allowing the state board of Elementary and Secondary education to authorize up to 12 new charter schools throughout the state each year”. to be allowed on the ballot. He argued that such charter schools being costly, they have high suspension rates and thorough process to take ideal students and unequal opportunities.
All students should have equal opportunity to education, learn new ideas and change the world. This resonates well with the topic because education opens more bridges and assist in finding more solutions to the problems that people face. He seems to be Transparency and trustworthy if these values and instincts are successfully implemented all the stakeholders in the society including parents, the board, teachers and students themselves must be ready to bear the consequences. Obesity is not only the problem of parents but the society as a whole. When a child’s life is lost many people are affected and the community is lost as a whole.
Conclusion
People are living in the modern world where digital progress has reached another level. Technological changes have revolutionized the world and the results have been tremendous both in the nursing and medical fields. The presence of sophisticated equipment has also helped in the faster diagnosis of health problems and proposes a remedy for the problems addressed. Obesity is not something that erupted today; it has been there and will be there. People need to look for solutions to get rid of the problem.
For the children to be helped people must embrace education. Education is not only fundamental within the classroom but also in real life. Children are inspiration and eye-openers to their parents, thus, no matter what the problem is they must take the burden and be ready to help. Education on food environment is very important to children as they will be able to be healthy and fit. Not only children but everyone should be aware of the amount of calories they consume on a regular basis. Food products that are rich in calories include sweets, a variety of beverages, and other calorie-dense foods. Apart from that, moderating the amount of food people take is also beneficial.
Children should eat quality and not quantity. The body needs quality in food and not quantity. Quality helps the body build and the excess results in obesity. A child can eat virtually anything he/she wants but the amount matters a lot. It is not a secret that people have to agree that losing weight is a tough call but when the condition becomes extreme proper measures must be put in place before the situation gets out of hand. Our bodies behave like movable machines that run based on whatever one supplies them with.
Being metabolically active children should involve themselves in numerous exercises in case obesity has been noted. The problem with our bodies is that when it loses a substantial amount of weight it fights hard to regain it. However, people should not be scared by those developments but rather remain positive regarding the fact that their body fights against metabolic roadblocks. Reducing body sugar is, therefore, not an option but a must because sugar prompts the liver to produce excess body fat thus leading to obesity.
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Overview of the Healthcare Policy and Role in Nursing. (2021, Nov 26).
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SLEEP your WAY out of OBESITY
“You are what you eat.” The agenda of this longstanding saying is often to promote viewpoints on nutrition and health. Anthelme Brillat-Savarin, a French lawyer, and politician coined this phrase when he wrote in his book Physiologie du Gout, 1826:
'Dis-moi ce que tu manges, je te dirai ce que tu es.' (Tell me what you eat, and I will tell you what you are). (“Who said first,” June 5, 2016)
While his phrase was not to be taken literally, it quickly caught traction when it was first used in the English language in the 1920s and 30s.
In relation to this saying, this paper will discuss childhood obesity, a major public health crisis nationally and internationally. There are many factors that contribute to this epidemic. Some of the main ones include: social, genetic, cultural, and economic. According to the Centers of Disease and Control Prevention (CDC) the obesity prevalence was 13.9% among 2- to 5-year-olds, 18.4% among 6- to 11-year-olds, and 20.6% among 12- to 19-year-olds. (“Prevalence of Childhood Obesity in the United States,” August 13, 2018). A recent Wall Street Journal article, “Babies’ Sleep Linked to Lower Obesity Risks Years Later”, by Sumathi Reddi, addresses newly discovered research by the Edgar Diabetes and Obesity Research Centre at the University of Otago, New Zealand that links sleep and childhood obesity. (Reddy, October 15, 2018)
The purpose of this text is to address the research found in the above-mentioned article, as well as causes, possible solutions, governmental actions, and challenges for managing this epidemic.
There are many commonly discussed reasons for childhood obesity. The roots of this problem point to factors such as socioeconomic reasons or poor nutrition, while food makers blame lack of physical activity to defend themselves. Furthermore, contributing factors could also be a lack of healthy alternatives to fast food outlets, especially in urban neighborhoods. Additionally, inner-city regions usually have less open and safe spaces for physical activity. This may cause parents to keep their children at home where other forms of entertainment that don’t require physical activity are the norm. Regardless of the outcomes of any discussion regarding childhood obesity, these are the key aspects that most likely work in tandem to spur the acceleration of childhood overweight. The greatest increase in prevalence is currently seen among Hispanics (25.8%) and non-Hispanic blacks (22.0%) had higher obesity prevalence than non-Hispanic whites (14.1%) according to the CDC. (“Prevalence of Childhood Obesity in the United States,” August 13, 2018)
While all the above-mentioned factors certainly contribute to child obesity, the article by Sumathi Reddy attempts to establish a different angle to this problem, babies’ sleep schedule. The article outlines a study of 800 women of which 400 received 6 months of advice and hands-on education about sleep strategies for their infants. The risk of developing obesity by ages 3½ and 5 was cut in half, compared with children whose parents didn’t get the sleep instruction. The same result occurred for babies of the ages two and 3½. However, it is ambiguous how improved sleep leads to lower obesity rates. Dr. Jodi A. Mindell, a psychology professor at Saint Joseph’s University in Philadelphia who concentrates in children’s sleep argues that one theory is that if a baby is waking less throughout the night he or she may be consuming fewer calories in nighttime nursing or bottles. An alternative explanation is that less disruptive sleep may affect metabolism in the short- and long term. (Reddy, October 15, 2018)
Since this issue affects millions of American children there are many organizations involved in addressing this epidemic. For example, the CDC supports obesity prevention and promotes health efforts, through funding programs targeting obesity education and training. (“Addressing childhood obesity,” n.d). Furthermore, The National Institutes of Health is attempting to address the issue through the “We Can!” movement. This national education program intends to support children to achieve and maintain a healthy weight by inspiring healthy eating choices and increasing physical activity. (“We Can”, February 13, 2013) A local program promoting children’s health is the “Choose Health LA Prevention Initiative of the County of Los Angeles Public Health Department”. This program is proposing to improve this issue by focusing on nutrition and physical activity in child care settings. Some of the project's ideas are to increase the number of child care sites with nutrition and physical activity policies. Another mission is to expand and improve child care providers' communication with parents about nutrition and physical activity. (“Childhood Obesity Prevention,” n.d.)
Over the years, federal and local government agencies, as well as non-profit organizations have emerged in the fight against childhood obesity. However, Figure 1. shows the linear upward trend of childhood obesity from 1999/2000 to 2015/2016. (“Childhood Obesity Trends,” n.d.) About 13.7 million children and adolescents are affected by this issue. (“Prevalence of Childhood Obesity in the United States,” August 13, 2018)
Childhood obesity has become an international public health crisis. Deceptively, it can be reduced by educating children and parents about healthy nutrition and encouraging them to be physically active and make healthy dietary choices. However, even with the rise of government policies to control childhood obesity, the numbers are swelling. Therefore, it is imperative to fund new research like the one by the Edgar Diabetes and Obesity Research Centre mentioned in Sumathi’s article. Exploring new possible causes and solutions is vital since Einstein defined insanity as repeating the same process over and expecting a different result. While exercise and nutrition may be the cornerstone of this problem, current measurements taken have not helped slow down this widespread, and new research is welcomed.
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Sexual Violence against Young Women
According to Charlotte Bunch, “Sexual, race, gender violations, and other forms of discrimination and violence in a culture cannot be eliminated without changing culture.” The basis of the quote can be easily interpreted by convincing society that the way to prevent sexual violence against young women can be eliminated is by modifying their cultural beliefs and mindsets. Society can do this by teaching young women their values, and make it clear to them that harassment cannot be tolerated. Sexual violence is also very common in the workplace, and women should also take action to eliminate discriminatory jokes that may relate to sexual harassment. They must understand what is too far.
Women can do this by understanding and examining the company’s harassment policies, and also examining behaviors, and feelings that may be related to sexual harassment. It is important to be aware and conscious of subtle forms of sexual harassment, but in order to understand this position, people need to understand the overall structures of sexual violence, and this is important for everyone to understand. Sexual violence against women is based on gender inequality, moral values, and racial background; an efficient way to prevent sexual violence against young women is to prohibit it overall and confront its foundation. women's rights
Aside from sexual satisfaction, sexual violence against young women is frequently found in power inequality, both physical and discern among male and females which are firmly impacted by cultural morals and positions. According to the NCBI Web, “Interpersonal violence against perceived or real weaker partner is a widespread phenomenon” (Sexual Violence Against Women). Sexual violence against young women recur frequently due to mens cultural faith in superiority, inferiority, and socialism toward women. Culture may be the principal role for sexual violence against young women but people have to look at the overall totality of past cultural form, advantages, and disadvantages.
Everyone’s involvement during early development is critical to their perspective of what is right and wrong. Everyone’s understanding varies whether they are positive or negative and contributes to their character. People’s early development relies upon the cultural issues which shape individuals today such as the environment people live in and go through, cultural morals, position, and conduct. Cultures profoundly explain unquestionable exteriors of sexual violence against young women that castigate and condone to an extent, validating cultural exteriors of sexual violence against young women, allowing a continuum rise of coercion from one end to an accepted coercion end. For instance, under the apartheid system in South Africa, the rape of white women was prosecuted as the sexual violence against black women was valid as a normal lifestyle.
Furthermore, child marriages in rural parts of India demand sexual relations with young girls who have not matured in adulthood. Moreover, in Indonesia a study divulged that sexual violence against women takes place periodically, starting at an early age such as 14; in different forms in a private matter, most of the sexual violence is caused as domestic and sexual violence.
Sexual violence against young women is a momentous worldwide health obstacle. For this principle, the legislation has passed laws and acts as a way to diminish sexual assault against young women. According to the nation’s largest anti-sexual violence organization; The Rape, Abuse & Incest National Network, is working on adjusting the issues of this type of violence. “RAINN works with a range of policymakers and influencers to pass key federal laws and educate the public about how these laws facilitate justice for survivors of sexual violence” (RAINN). The Debbie Smith Act proposes to downplay the accumulation of undetermined raw DNA verification by allocating the necessary resources to approach the necessary verification to join test trials to the National Database.
The Debbie Smith Act was created in 1989 when a stranger invaded Debbie Smith’s home and sexually assaulted her, five years passed with undetermined DNA verification. Until 1994, the Combined DNA Index System (CODIS) is created and maintained by the FBI to store DNA evidence, and it gave access to the forensic evidence to be verified, pinpointing the perpetrator. In 1990, congressmen enacted The Clery Act which obligates a considerable clarification and felicitous forewarning from colleges and universities about the sexual or nonsexual crimes on their campus. In the year of 1986, a college freshman named Jeanne Clery was raped and murdered in her own school campus; the event led to the investigation of all colleges and universities who never spoke out to reported rapes all across the country. Just like the Clery Act, the Campus SaVE Act redresses the obligation to a considerable clarification to voice the survivor's rights as a guarantee and initiate punitive acts.
The Federal and State Courts Address Sexual Violence, in which case RAINN maintains a standpoint on the court cases in order to influence how the legal system convicts an offender, consoles survivors, and prevents sexual violence. Subsequently, a three-year-old boy divulged to his daycare teacher, that the mother’s boyfriend was abusing him; because of this, it elevated questions and concerns to his testimony due to his age.
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A Year of Skyrocketing Allegations of Sexual Harassment in the Workplace
There has been an uprise in the number of women who have started to speak out about being sexually harassed in their workplace. Workplace sexual harassment is one of the most difficult issues to talk about and for women to step up and take action. These victims are so often put into a position of being afraid of damaging their careers or staying quiet and moving on for the sake of their jobs. Women are constantly afraid of losing their jobs if they dare to speak up and accuse the person who is sexually harassing them.
Taylor Swift is one of the many female celebrity stars who are standing up in hopes to help inspire women all over the world to stand up for themselves in the workplace. DJ David Mueller sued Taylor Swift for 3 million dollars for defamation in which cost him his career. Taylor Swift countersued for just $1 for assault and battery. Taylor Swift claims to sue David Mueller for just $1 to prove a point. After having reached a unanimous verdict that Taylor Swift’s accusations towards Denver radio DJ David Muller were the truth, Taylor’s team called her court victory a win for all women. For Taylor, it wasn’t about the amount of money she could gain from this experience but to set the principle that women can say no and stand up to predatory men in the workplace, no matter what it takes.
A lot of people are questioning why, after so many years, hundreds of women are finally coming forward to report sexual harassment that has happened in their workplace. There are a significant amount of factors that make women feel like they need to keep quiet. The main factor among all other reasons is money. They fear losing their ability to make a living and we shouldn’t be quick to judge them for this decision. It’s easy to say, when you aren’t faced with this type of situation, “I would tell”. But what if standing up to the predator meant a loss of income you desperately needed? What if it meant losing your position in a career where the field of career was already hard to succeed as a woman?
Before human resources became a tool of protection for women, they felt as if they had no other option when facing these types of situations at a workplace. One has to take into serious consideration the power of the person making the demands against the person they are accusing. Usually it is a very successful person of high power. A young woman at a low-income level job may feel vulnerable to the consequences of reporting the perpetrator.
The women who keep the quiet feel as if they had no choice. These women are often seen carrying a piece guilt with them for not “doing” something or “saying” something. It's hard for those who have never experienced being sexually harassed by another co-worker in the workplace to understand the effect it has on the woman, psychologically and emotionally. Proving the behavior often comes down to who said what in the situation when reporting sexual harassment, the typical he said, she said. The self-anger at being a victim. The shame in which everyone starts to think about when staying silent makes you feel guilty. Many reports being frozen, disbelieving what they are experiencing, and not having the tools to respond back quickly in their defense to stop them from continuing any further and from continuing these actions on them or onto someone else.
This rise of accusations these women are making are unbelievable, yet it’s about time an enormous light is being brought upon this issue. The fact that many high-profile men such as in the office, movie industry, and large corporations, are losing their jobs is justice for the behavior that has gone unchecked and unpunished for too long.
For many women, to work is to put up with a variety of things, because you know that there is a possibility of there being a bump in the road, standing in the path of your paycheck can be a male manager or influential co-worker willing to take advantage of his position. Being a woman in desperate need to keep that good income every month is intimidating, they can make you feel so financially vulnerable that you just keep quiet.
The reason for this is that just as with so many other forms of harassment and assault, there is the factor of victim-blaming. When workplace harassment hits the news, people are quick to react by asking why victims don't simply stand up for themselves or firmly put their assailant in his or her place? This attitude completely fails to take into account the power of many workplace harassment cases; the vulnerability that many working victims feel of fearing losing one's job or worsening of the situation if nothing is done after reporting the harassment. Most likely at a time when employment is hard to find and the public's attitude towards victims is usually unsympathetic. In some cases, even if some people are able to stand up for themselves in a case where they are being sexually harassed in their workplace, the point is that nobody should have to because these are serious offenses, protected by the law that no working woman should go through.
It's about time to start taking workplace sexual harassment very seriously. It has to start off with learning to listen to victims, and learning to place the blame firmly where it belongs and at that exact time when it happens with the perpetrator.
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SurveyMonkey Partners with Corporations to Address Silent Victims of Sexual Harassment
SurveyMonkey CEO Zander Lurie announced today that they will be teaming up with major corporate companies to address silent victims of workplace sexual harassment. Every employee will be given the opportunity to honestly survey how safe they feel in their companies without the fear of losing their job.
Starting November 1, 2018 organizations will be provided with surveys to their employees online. The survey will be no more than 10 minutes long which will include 15 questions with the opportunity to give feedback. Organizations will have one month to have every employee to complete and once all employees successfully complete the survey, they will automatically be entered for one winner in each organization to win a free iPad. Winners will be announced at the end of each month.
The recent #metoo movement has many corporations trying to figure out how to reduce sexual harassment in their workplace. Corporations such as, Citi, Verizon, United Healthcare, and JetBlue Airplanes are among many of those who will be providing surveys to its employees starting next month through SurveyMonkey. SurveyMonkey’s Senior Vice President Lora Blum stated, “We believe corporations should be aware of the current state of sexual harassment in their organizations. This solution is easily implementable and in its simplest form to answer if there is harassment in the corporation. We don’t want any victims to stay silent in fear of retaliation. Every voice will be heard”
The National Academies of Science, Engineering, and Medicine (NASEM) did a three-year research study on sexual harassment in the place of work and uncovered that corporations rely only on complaints and training to determine the level of harassment. It proved complaints and training are not very effective because most victims do not report harassing behavior and the training does little to reduce harassing behavior.
Survey Monkey provides organizations a more accurate of the level and type of harassment experienced by the employees. The goal of providing anonymous and confidential surveys is to help organizations figure out what works and what doesn’t to reduce harassment and also to determine the effectiveness of their initiatives to reduce harassment. It will also alert organizations about existing or potential problems, and hold harassers accountable. It is crucial to review the outcome of the survey with the employees for change and to collaboratively close gaps within the organization's community.
Survey Monkey is the world’s leading survey platform that provides specialized solutions that make it easy to automatically collect the opinions of the people who matter to you and turn them into actionable insight. Founded in 1999 by Ryan Finley with over 700 employees throughout North America, Europe, and the Asia Pacific dedicated to powering the curious. A platform that was built for simple survey learners to use, but powerful enough for a pro providing free and customizable surveys.
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The Author Behind this Cartoon is Pulitzer Prize-winning Adam Zyglis.
He works as an editorial cartoonist for Buffalo news, as well as a freelancer on the side. During Zyglis’ high school career, he began illustrating editorial cartoons for his school’s newspaper. Once he graduated high school he began work at the Griffin. Griffin is a subscribable newspaper for Canisius College Honers, which is where he attended. Consequently, at the simple age of 22, he became part of the cartoonist staff at Buffalo Newspaper.
Zyglis has a big heart for issues that he is passionate about and illustrates them beautifully. He has been said to have the endowment to connect powerful, multilayered messages through his art with morsel words. His cartoons are detail-oriented and illustrate what he feels, regardless if it is republican or democrat. In the women’s hand, she is holding a check and balance symbol with various cases inside of it. On top is the Nunes memo, which used to be known as the Foreign Intelligence Surveillance Act Abuses at the Department of Justice and the Federal Bureau of Investigation. The Nunes memo exposes the alleged abuses from the Federal Bureau of Investigation. Leading up to the release of the memo many were quick to request the memo not to come out because of the consequences that could result, simply because it could be “misleading”.
The next name on the stack is Andrew McCabe, he served as Deputy Director of the Federal Bureau of Investigation before he was abruptly fired by President Donald Trump. The main cause leading to his removal was when he investigated Trump’s campaign ties to Russia. The last name at the bottom of the stack is James Comey, who served as the director of the Federal Bureau of Investigation. Comey was eliminated because he was leading the investigation regarding whether or not if the Trump administration had been in cahoots with Russia.
But most importantly, the cartoon does beyond an adequate job of invoking disgust into the audience regarding sexual assault. There is a woman displayed holding a #MeToo poster. She appears to be stepped on and blindfolded. The footprints on her are a symbol of a lack of respect, she is a model for all of the women who have been failed by the rule of law. The rule of law implies that everyone is subject to our constitution, and everyone should be treated as equal. By displacing the women on a podium that says “rule of law” she is declaring that she is attempting to stand up for the Me Too movement.
The sensation of dejection lingers with this cartoon because our president Donald Trump is creating a sense of normalcy by casually talking about the neglected woman. The cartoon dives in and exhibits a Donald Trump speaking to an elephant (GOP) about the woman as if it is normal as if the issue of sexual harassment is minuscule. This cartoon exemplifies a controversial subject; sexual harassment, and how it affects our citizenry. In today’s society, we are more exposed to controversial situations and in this essay, we will explore both sides of the argument if sexual assault is normalized and how it affects several million people’s lives.
This political cartoon shows the false dilemma logical fallacy because it defines an oversimplification of the actual issue itself. It presents a complex issue, with two distinctively different views on the situation. This cartoon also demonstrates anecdotal evidence, because everyone in the MeToo movement’s cases is based on personal experience, all of the evidence is collected solely based on individuals' testimony. In brief, the cartoon explores many controversial issues including abuse of power but primarily focuses on sexual misconduct and how it goes away so blindly. The cartoon leaves the question pondering as to why this is happening in our world.
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The author behind this cartoon is Pulitzer prize-winning Adam Zyglis.. (2021, Nov 26).
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Sexual Harassment is a Powerful Way for People to Undermine and Control Others.
Thank you for breaking your silence and having the courage to voice out abuse and sexual harassment, you are valiant and we see you, we hear you and we will continue to share your powerful stories. You guys are all strong for having to endure this silent pain whether it was because you had your family to care for, endless bills to pay, or because you had goals you wanted to accomplish.
Keep in mind that you are not to be blamed and the hurtful actions and words done and used against you are imposed sexual attention made by the perpetrator. I acknowledge that you didn’t ask to be here but remember that you are not what they took from you. You are the monument of survival and recovery that you erected in its place. Other victims, worldwide supporters including myself, love every healing part of you. As you follow the path to heal others through your story, these qualities I believe are intrinsic to your spirit but they are also hard-won to find a way to keep living. It is the most powerful weapon against violence, marginalizing the media landscape that rendered you invisible.
It is the act of unwanted conduct of a sexual nature that is either physical or verbal with the sole purpose or effect of violating someone’s dignity or creating an intimidating, hostile, degrading, and offensive environment for the victim(s). It causes them to feel as if their physical attributes are their main value which sabotages any skills, talents or insights for them to perform at their full potential. It can sometimes result in bodily harm or injury, as well as psychological and emotional trauma. The perpetrators may also unknowingly get a pleasant relief from the routine or it is a way that they communicate using banter with someone they are interested in, but it does not mean that it is acceptable or appropriate behavior.
Statistically out of every 1,000 sexual assault cases, 310 are reported to the police. That indicates that if we paired up in groups of 4 within this classroom, then 3 people from each group will not report a current or previous sexual assault incident. The victims stated the following reasons on why he or they did not openly speak about this worldwide issue such as; feared retaliation, they believed that even if they sought for help, they will unfortunately not receive it, it was a personal matter, believed that it did not hold a significant amount of importance to report, they did not wish to get the perpetrator in any legal trouble, and others refused to This impropriety can weigh heavily on any victim’s mind, regardless of gender, age, or nationality due to dehumanization and being silenced and stripped from having any more sense of normality. The disruption of those acts and words carry tremendous tidal forces, a real current of pain, deep loss, and a shattering of life. My friend’s survival and growing self-assuredness taught me about courage, faith, and determination. Her efforts to keep herself stable did not go unnoticed but there can be no doubt that she took a herd’s journey.
Resolutions that I believe can be a starting point to minimize sexual harassment would be if victims could step forward when they feel comfortable enough file a report and or publically speak out to create change in the silence that surrounds this crime. It can help as a recovery mechanism to end the false sense of shame that survivors often carry. You can pay attention to your boundaries and if someone is getting too close or making remarks that is not within your comfort zone then don’t be afraid to speak out and address the unwanted and uninvited communication and or contact. Many people including myself remain committed in helping those who are victims and believing them openly and vocally. We will ensure to raise awareness and offer help with your battle and ideological dedication for justice
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Sexual harassment is a powerful way for people to undermine and control others.. (2021, Nov 26).
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https://studydriver.com/2021/11/page/4/
Artificial Intelligence in the Financial Services Sector
Artificial Intelligence (AI) is changing the competitive dynamics of the financial services sector in Africa, driving financial institutions to differentiate themselves by investing in technologies to build new capabilities, improve customer experience and drive growth. Although Artificial intelligence (AI) is at its nascent stage in Africa, it’s gradually making inroads into the business environment.
According to a McKinsey report, Africa’s retail banking penetration stands at just 38% of GDP, half the global average for emerging markets. (Roaring to life: Growth and innovation in African retail banking). Against this background, it is evident that the African banking sector is an exciting, fast-growing hotbed of innovation.
There is still a lot of room for the adoption of technologies such as AI, only 16% of Africa CIOs are experimenting with AI against a global average of 35% according to Gartner’s 2018 CIO Agenda: An Africa Perspective.
Africa is certainly on the global AI radar. Google recently built an AI Research Lab in Accra, Ghana. In Kigali, Rwanda, Facebook and Google are sponsoring the African Masters in Machine Intelligence degree program at the African Institute for Mathematical Sciences.
AI in motion
Absa, one of the largest banks in South Africa has successfully used AI to gain market share in a tightly contested banking sector. Absa started its AI journey by deploying chatbots to help customers in opening new accounts. While chatbots are not pure AI tools, AI features are embedded in them and they are widely used in the banking sector.
Chatbots allow customers to conduct basic banking transactions without human intervention. They can provide responses to enquires and can facilitate services such as funds transfers. Chatbots are helping to deliver a radical change in customer experience by allowing customers' finances to run themselves and acting as trusted advisers. According to research by Juniper, chatbots conversations will deliver $8 billion in cost savings by 2022.
Besides conversational interfaces like chatbots, AI is also helping in the area of personal financial management and credit risk assessment. Absa has successfully used AI-processed behavioral data to advise clients on applicable investment products.
Union Bank, a major bank in Nigeria, announced the deployment of Robotic Process Automation (RPA) technology in its operations; a first in the Nigerian Banking sector. With RPA, Union Bank was able to automate routine rules-based processes. This is one of the most promising applications of AI in banking because automating high-volume, low-value processes can help to significantly reduce the cost to serve each customer. Union Bank’s intent is certainly in line with global trends. A study conducted by Cognizant found that 90% of business leaders in North America are convinced that process automation is critical to their business.
According to James Mwangi, Group MD &CEO of Equity Group Holdings, a financial services holding company in Kenya, “Artificial Intelligence, machine learning, robotics, and blockchain are technologies that any company worth its name will need to adopt as early adopters or fast followers. No company can afford to be left behind as the 4th Industrial Revolution sets in across the world”
Startup world
The AI startup ecosystem is quite vibrant with companies such as Aerobotics, DataProphet, and CLEVVA.
Q&A with CLEVVA Co-CEO
CLEVVA is a South African startup that creates AI-powered virtual advisors to drive sales and perform technical consultations. Ryan Falkenberg, the Co-CEO shared his thoughts.
Q - How have African businesses embraced your products and services?
A - “While the market is still relatively immature, we are seeing increased take up as companies’ gain a better understanding of what AI technology can offer them. And of course, it’s commonplace in products from Google, Facebook, and the like on the consumer end of the market.
Most companies know they need to get moving on their digital journey. They are just being held back by the current dependencies on integration, connectivity, and access to relevant data. The reality is also that many companies remain largely human-powered, and so they have limitations to moving straight to full automation (even if the technology supports it). This, however, is opening up more discussions around augmented intelligence solutions - ones that use digital intelligence to empower not simply replace staff. By augmenting first before you move to full automation, you allow AI to gain traction within the current reality. This realization is now dawning on those companies which are more realistic about the journey to full automation, and which now acknowledge that, in most cases, the starting point is combining AI with staff.
From a CLEVVA point of view, the businesses we engage are increasingly attracted to the rapid way they can build digital experts to help optimise current decision-making accuracy and consistency. We also offer a pragmatic first step in a digital journey, one not dependent on rich training data - something few have available. As such interest in our offering is growing exponentially”
Q - What are your thoughts around the future of AI in Africa?
A – “As a market, Africa offers enormous potential for AI solutions. This is because skills are at a premium and if we can offer powerful digital intelligence to people who have the resilience, determination, and drive to make a difference (just not the knowledge and/or experience), we can help them unlock rapidly. Plus we can use AI to create jobs by making more people employable.
A challenge with growing the market in Africa remains the inconsistent IT infrastructure, lack of relevant big data, as well as varying cultures, languages, and political/legal frameworks that need to be overcome - unlike countries like the US that have effectively 51 countries that are similar in most respects. Platforms like CLEVVA that don’t rely on big data but rather on access to ‘live’ experts, allow companies to start their AI journeys by digitizing their known logic before moving on to unlocking the potential of unknown logic.
Africa, therefore, needs pragmatic solutions; not ones that can only work if multiple dependencies can be resolved. Solutions need to work within existing realities and offer value by overcoming current blocks in an intelligent way”
The future
PwC research shows global GDP could be up to 14% higher by 2030 as a result of AI - the equivalent of an additional $15.7 trillion – making it the biggest commercial opportunity in today’s fast-changing economy.
AI has the potential to solve some of the most pressing business problems and drive growth and development. Despite these strengths, there are structural challenges that can hamper the development of a healthy AI ecosystem, particularly skills shortage, lack of infrastructure and a weak regulatory environment.
Some African governments are taking steps to address the challenges. Nigeria recently inaugurated the National Agency for Research in Robotics & Artificial Intelligence (NARRAI). The next step is for African governments to develop a coordinated pan-African plan. AI-powered technology will continue having a transformative effect on the banking sector and the use of technology such as AI-powered facial recognition will become increasingly commonplace. This presents African digital entrepreneurs and investors with a myriad of opportunities for growth.
WHAT IS AI?
According to the Web Foundation, AI is an intelligent system, which is able to solve problems by selecting the best possible action in a given scenario.
AI does not exist in a vacuum, its capabilities are intertwined with other key technological innovations.
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Artificial Intelligence in the Financial Services Sector. (2021, Nov 26).
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Artificial Intelligence and Innovative Technologies
Introduction
Air transportation is drastically changing due to the impact of artificial intelligence and innovative technologies. Innovative companies in the sector have a competitive advantage and increased turnover as compared to other companies. The leading players in the industry include Toyota, Nissan, General Motors, and Honda. The motor corporations are very creative in their operations to outshine their counterparts in the market. The industry is manufacturing self-driving cars currently. The automotive manufacturers implement various human-machine interface technologies such as voice controls, interior-facing cameras, touch-sensitive surfaces, and smarter, personalized platforms. The competition in the industry is not only about sales and market shares but also on the effective leverage of technology to meet customer demand. The future of flying cars is getting closer, although there are some developments not yet accomplished.
Potential Options
Due to Toyota's new invention, Nissan is operating in a very competitive business environment. The other companies in the sector are also providing similar products and at lower prices. As a CEO in the Nissan company, I would consider the news as a threat to the automotive industry. Toyota has invested in an electric air tax company, Joby Aviation, to gain a competitive advantage and increase turnover due to dominance in the target market (Martin, 2020). The Toyota company also has adequate capital to make such investments. The potential options for Nissan company include differentiation strategy, no reactions, and copying the product after intensive research. The differentiation strategy will allow Nissan to have new and innovative products that will result in an economic boost and decrease competitive powers in the market. The differentiation strategy involves the development of products that are unique and different. Nissan will consider these options for long-run attentiveness in the market.
Option One: Copying Toyota’s strategy
The strategy of copying a brand is less risky and cheaper as compared to the cost of developing a new brand of product. It has an economic advantage because it reduces the expenses of creating a new product and experiencing all risks associated with the introduction of a new product. Using an established product by the company with a strong brand in promoting new products makes it less relevant to create awareness and imagery of the product because it will be easier to attract new consumers. The company will gain customer trust because the existing automotive product is a promise of the quality and other characteristics of the potential buyers.
Copying an original product from Toyota will result in dilution of the existing product image. This will damage the brand because it will be common. It might even be of bad quality hence destroying the reputation of the Nissan company. A disaster may happen, and it might be uncontrollable, thus affecting the brand of Toyota and Nissan companies. It will also result in cannibalization because the products are positioned in a common market. It is safe to stick to a product that customers already know rather than venturing into new products. The development of new products comes with an uncertainty ranging from unfamiliar production processes. When the development strategy fails, Nissan will need to absorb the investment made without returns. The advantages of the copying option outweigh the disadvantages of the option. For instance, the cost of introducing the product at Nissan company will be cheaper as compared to the costs of inventing a new product.
Option Two: Do Nothing
The competition from Toyota's company will decrease Nissan's market share and shrink the consumer base because of the lack of innovative products. Failure to innovate will leave Nissan weak while Toyota is succeeding because of its decision to update the business model. Having a narrow approach to the concept of innovation is going to make Nissan struggle with its products and brands. Reluctance to innovate in the motor industry will lead to decreased sales, market share, and total profitability. Not reacting to the decision of Toyota can help Nissan avoid unnecessary pressure and losses in the market. However, this can be the worst option for the Nissan company. The business should make appropriate decisions and develop strategic plans to solve the problem.
Option Three: Differentiation Strategy
Companies use several marketing strategies to win a customer base to them instead of their competitors. Differentiation strategy enables businesses to communicate unique features of the available products and develop a niche for the product. With the use of artificial intelligence and innovative technologies, Nissan can design a unique better automotive product in the market. Differentiation strategy builds unique quality products. Nissan will analyze the specific products and compare them with the new product developed by Toyota. After understanding the differences, Nissan will communicate the features to customers through promotions and advertising. Through differentiation, Nissan will build its reputation using its company image-like strength. Consumers require companies to develop innovative features based on previous products, and these companies market their products using their past success. The buyers recognize the company and relate its brand image as a product that conforms to different standards in comparison to its competitors. Differentiation strategy builds a difficult to imitate, superior quality products developing specialized advantage that dictates the value of the product. The products have non-price competition in the market because of their uniqueness.
The disadvantages of using the differentiation strategy are as follows. Utilizing the approach in the market needs a larger financial investment from Nissan. For the company to convince the buyers that their new product has unique features, it is required to communicate the information to the buyers. The cost of the advertisement is high, and the company should assess the return on investment in the new product and promotion costs. The differentiation method faces the challenge of changing the perception of the customers. Many buyers perceive the product as equivalent to other products from the competitors. Nissan will be scrambling to develop a new exciting product that its consumers will embrace. Nissan's competition will be working hard to solve the same problems, and it is not enough for the development of an innovative product. Regardless of whether Nissan has a product development plan or not, it is not essential in the long run compared to how the strategy is implemented. Conclusively, the differentiation strategy at Nissan company will result in a competitive advantage. However, the method is expensive, and also, the company will face challenges in changing the perception of potential customers.
Types of Costs
The product costing system is an accounting procedure where the expenses used by a business to develop a product are examined. Cost accounting objective is capturing every cost incurred during an accounting period to help the management in making the right decisions. The process involves collecting, classifying, and recording all the incurred costs, which are later summarized and evaluated to determine the best selling price and profitability. The expenses within a company are divided into three categories, including variable costs, fixed costs, and mixed costs. Fixed costs are constant, while the variable costs change with the range of activity. Mixed costs vary and have features of both fixed and variable costs. Examples of fixed costs in a company may include rent, administrative salaries, equipment depreciation, and insurance. Mixed costs may consist of maintenance, while utilities may fall under mixed costs.
Option One Costs
The copy option will involve a few costs. The first cost will be the expense of buying into another company developed idea, that is, 394 million dollars. Moreover, the company will incur research costs while performing market analysis and while introducing the product in the market. These costs should be managed to ensure that the company does not suffer losses. Effective cost management reduces the risks of losses while giving the company a competitive advantage. Activity-based cost accounting can be helpful in this option. It involves monitoring of the company's operations, which constitutes tracing consumption of resources and costing the end products, resources assigned to activities and activities to cost objects based on consumption estimates (Tabitha and Oluyinka, 2016, p.52). This method involves accumulating overheads from every department and assigning them to specific cost objects like products and consumers. The approach is accurate and useful to managers in comprehending the cost and profitability of the company's product. In this case, the activity is diversification through copying an already developed concept from Toyota company.
Option Two Costs
In case, Nissan chooses to do nothing about the activities of Toyota company; it will not incur direct costs. However, this is a wrong decision because a lack of innovation in the automotive sector may result in collapsing of business. The company will experience decreased profitability due to a lack of competitiveness in the market. Nissan should innovate using artificial intelligence and advanced technologies as a way of facing competition and increasing its customer base in the industry.
Option Three Costs
The differentiation strategy in Nissan company will involve the development of the new unique product. There are several costs to be incurred in the process of product development. The costs of labor, transport of products, technological input, purchase of raw materials, and stocking fees are included. The overall cost is used by the company to plan various strategies to be utilized in the business, including promotion campaign strategies and product pricing. Product costing is also used to strategize how to control production costs to maximize the return on investment. Nissan needs to have a product costing system to help it make long term decisions concerning the costs over the product life cycle and assist in determining the most purchased products in the company. Marginal costing is the best method for the differentiation strategy. It is an analysis of the relationship between a company’s product, sales, production level, costs, and expenses (Tabitha and Oluyinka, 2016, p.51). The contribution margin gives the management a useful insight into potential profits, the most profitable product price, and the marketing type required.
Conclusion
Air transportation is drastically changing due to the impact of artificial intelligence and innovative technologies. The leading players in the industry are Toyota, Nissan, General Motors, and Honda. Toyota investment in electric air tax company, Joby Aviation, to gain competitive advantage and increase turnover rate. The diversification activity in Toyota company is a threat to other companies in the industry. The potential options for Nissan, a company in the industry, are doing nothing, copying Toyota's concept, and differentiation strategy. Each of the three options has potential advantages and disadvantages. However, doing nothing is the worst decision the Nissan company can make. The options will also result in some direct, fixed, and mixed costs. Several accounting tools, like marginal costing and activity-based cost accounting, are applicable in the available options. Due to the changing technologies, companies should develop appropriate diversification strategies to gain competitive advantage and improve profitability.
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Artificial Intelligence and Innovative Technologies. (2021, Nov 26).
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The History of Artificial Intelligence
Oxford University researchers Carl Frey and Michael Osborne explain that “47 percent of U.S. workers have a high probability of seeing their jobs automated over the next 20 years.” Artificial Intelligence (A.I) is a term that makes it possible for machines to learn from experience and adjust to new conditions just like human minds do. In the discussion of A.I taking over jobs in the United States, this controversial issue gives way to the question, to what extent will the use of artificial intelligence threaten jobs in the US? The ethical aspect will be analyzed to better understand this controversial issue. In the discussion of the effect of A.I on employment in the United States, different stakeholders such as businesses, employees, and scientists/researchers are discussed where expert opinions of stakeholders and people in that field are analyzed. In addition to this, different studies and statistics are introduced to expand research on A.I.
Employees believe that A.I taking over jobs is unethical as the unemployment rates are growing. Many employees who work for different corporations have had their jobs taken away as a result of A.I and the rise of technology in the United States today. Will Hurd, an American politician, discusses how employees in the nation are being affected by A.I. “Around a dozen Google employees have quit over the company's involvement in an artificial intelligence drone program for the Pentagon called Project Maven” This uproar from employees who work at Google brings out the concern employees have on the morality of A.I in taking away jobs that belonged to humans. Many workers are being taken from their jobs to follow A.I and its provisions. Google employees are not seeing the positive implications of A.I on the United States, but instead they are scouting through views where A.I is threatening jobs throughout the United States which is immoral.
Coglianese, who has studied political science at the University of Pennsylvania, and Lehr, the research affiliate at the Penn program, utilizes expert opinions to emphasize that A.I is unethical from the employee perspective. Coglianese and Lehr’s research show that high-tech entrepreneur Elon Musk, for example, has warned that A.I present the 'biggest existential threat to society.” As an entrepreneur, Elon Musk has seen this technology grow through the years. The more technology expands in the U.S., the harder it is to control the rise of A.I, so the code of ethics need to be applied to it. The code of ethics is a document that describes both acceptable and unacceptable actions for all employees in a company. In this case, employees are allowed to judge both their behavior and others in the company. In support of this, Artificial Intelligence and its ethical concerns come in handy.
By stating this, employees are beginning to feel fear where they are beginning to acknowledge that unemployment rates are growing due to A.I One can conclude the rise of technology leading to the rise in A.I in the United States is causing disputes over morality or whether A.I is ethical or not. A.I is unethical in the means of taking over human jobs, employees say. The impact of automation or machines on employees is significant to employment and the threats it will cause in the future. Through increased unemployment, employees believe A.I. is unethical which leads on to the beliefs of the company owners who have both an unethical and ethical perspective.
There are differing perspectives among different business owners. Some believe it is ethical while others don't as it is helping some corporations grow and expand, but also causing unemployment rates to rise hurting other businesses. The author, John W. Miller, a staff reporter and an A.I ethicist, discusses “as Facebook, Apple and Google pour billions into A.I. development, there is a fledgling branch of academic ethical study...of philosophical and sometimes theological questioning about how A.I change destiny and role as humans in the universe.” Miller discusses the lack of moral reflection of A.I among major technology firms. He argues A.I is morally unethical, countering many employers’ belief of A.I am ethical and help businesses grow.
A.I in this case is focused on being unethical where businesses are pouring billions of dollars into AI and at the end the only thing coming out of it is the increase of unemployment rates. However, though A.I is causing unemployment rates to increase in certain companies, “The role of fast-developing technologies (like AI) [is] augmenting and not killing our jobs” in which “economic benefits and job creation[s] through people and machines working in collaboration” can be created(Business Times). Businesses are noticing the capabilities of A.I on employment in the United States. Though they may be taking over jobs, automation are giving a hand in the creation of new strategies that couldn’t be accomplished if there were only humans. Owners of businesses and CEOs of companies can understand both the morality and immorality of A.I in the society through the multiple threats and implications A.I cause towards a society. Though businesses have mixed views on the controversy, most scientists believe Artificial Intelligence is ethical.
Researchers and Scientists believe that the creation of A.I. follows the ethical code as it is helping the World introduce more strategies. The author, Kris Hammond, a chief scientist at Northwest University, discusses how the reason why “Isaac Asimov’s “Three Laws of Robotics” seem so appealing to us”, showing how the code of ethics can be applied to robots. Hammond discusses the perspective in this article as Scientists who have studied technology and believe A.I is helping the community by taking over jobs and following the code of ethics.
A.I is helping the community instead of harming it and taking over jobs is actually following the code of ethics. In addition, it shows how robots taking over jobs are helping out with the code of ethics leading to future development of A.I in America. One can understand that automations are helping society by checking for other information which humans will take forever to find. Many scientists believe that AI can help the environment & be more efficient without replacing jobs Henderson, a research fellow at the Hoover Institution and an emeritus professor of economics at the Naval Postgraduate School in Monterey, California argued, “By 2000, It's true that the US labor force had grown substantially during the century, from 27.6 million to 142.6 million.” He illustrates that people should be optimistic as robots taking over jobs will not result in unemployment because there will be the creation of new jobs in a society, so the addition of AI into society will be ethical.
The significance in the relationship of AI in eyes of researchers and scientists is that the minds of automation are so developed, they can focus on monotonous jobs unlike humans and they can figure out more strategies to aid scientists in society. In relation to this, the relationship of the morality of AI can relate back to how businesses believe AI is moral as it is helping businesses thrive and therefore everyone else in society is thriving.
The relevance of this issue in the United States is significant because technology is growing rapidly which in turn includes A.I. Though some believe robots are taking away jobs, robots are also aiding corporations by helping society financially and morally due to the fact that they are finishing tasks quicker and more efficiently. The argument that A.I fall under the ethical code and is beneficial for the society is stronger because it emphasizes the multiple positive implications on the moral side when A.I is added to society.
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“Artificial Intelligence” is more Like a Myth from Science Fiction Films
Despite the prominent usage of artificial intelligence in widespread technologies, such as Siri and Alexa, to perform daily tasks like adding events to the calendar, sending messages, etc. not many of us can provide the exact definition of the term ‘artificial intelligence. In fact, some people might not realize they are currently using AI-powered systems, as ‘artificial intelligence’ sounds more like a myth from science-fiction movies rather than reality. As once told by McCarthy, one of the founders of the artificial intelligence discipline, ‘As soon as it works, no one calls it AI anymore’ (Meyer, 2011).
One of the possible reasons for the struggle to define the concept is that ‘artificial intelligence’ can be defined both in terms of cognitive science and engineering. Defined from the perspective of cognitive science, artificial intelligence is the ability to process information in a way similar to that of a human being. In this sense, AI features cognitive architecture. One of the main goals of cognitive architecture, according to Techopedia.com, is to define the learning and performance mechanisms of the system, helping to identify the necessary infrastructure for an intelligent system (2018).
According to the same source, the difference between traditional artificial systems and cognitive architecture is the cognitive architecture’s ability to learn based on social interactions, a bio-inspired technique. ‘Artificial intelligence, defined in terms of engineering, is the systems’ ability to execute tasks, which currently require human knowledge. While the task theory of artificial intelligence is not defined yet, Thorisson et al. (2016) determined three things that might be in flux in each system: the task, the environment, and the agent itself. The task not only defines the goal to be achieved but also the situations that should be avoided.
The agent’s perception, goal structures, memory is shaped by the task and the environment. An agent consists of two parts: the controller or AI system, and the ‘body, which sends the signals from the environment to the controller. The term ‘artificial intelligence’ defined from an engineering perspective, can be further divided into ‘strong’ and ‘weak’ artificial intelligence. The distinction between ‘strong’ and ‘weak’ artificial intelligence lies in the fact that ‘weak’ AI can only simulate every aspect of the human mind employing the computer software and hardware, while ‘strong’ AI, employing the same means, can emulate or be equivalent to the human mind ('Artificial Intelligence: Weak AI vs. Strong AI', 2018).
In other words, ‘weak’ AI responds to a human by using a pre-programmed set of operations, while ‘strong’ AI genuinely understands the meaning of the words, and the cognitive processes of ‘strong’ AI strongly resemble those of a human brain. A task as simple as dishwashing can be used as an example to explain the difference between the AI defined in terms of cognitive science and AI from the perspective of engineering. In the first case, AI would involve navigating the identical environment, the kitchen, as humans, recognizing the dishwashing liquid and sponge as the equipment necessary to achieve the task, the way humans do, and achieving the goal, washing the dishes, using the appropriate means. In the second case, the similarity of AI’s cognitive processes to those of a human being does not matter. Particularly, the emphasis is put on the accomplishment of the task itself.
Much debate has arisen in recent years on the topic of artificial intelligence, with one of the most prominent figures in modern science, Stephen Hawking, saying ‘AI is likely to be either the best or worst thing to happen to humanity’ (Hern, 2018). Perhaps the most evident concern with AI could be the danger of unemployment due to the increasing prominence of AI. The fear of unemployment due to the automatization is nothing new: Queen Elizabeth I refused to patent the sewing machine, stating that: ‘It would assuredly bring them to ruin by depriving them of employment, thus making them beggars’ ('Accidental Inventors And The Impact Of Technology On Work And Jobs', 2018). With the gradual advent of AI, not only the tasks in manual spheres (mainly requiring a physical effort) but also those in the non-manual spheres (mainly requiring an intellectual effort) are being performed by AI-powered machines.
This is supported by the fact that there has been significant progress in automating ‘white-collar’ work (Nils J. Nillson, 1984), involving tasks as decision-making, coordinating and communicating, and fact-gathering. A more recent study estimates approximately as much as 47% of US employees are at risk of losing their jobs in the next one or two decades due to computerization (Frey & Osborne, 2013). Specifically, sales occupations, such as cashiers and counter clerks, which do not require a high degree of social intelligence, are in the high-risk category. The low-risk category includes jobs, which require a high degree of social intelligence (ex. business and finance spheres) and those requiring creativity and the development of new ideas (ex. science and engineering). The central question about the above-mentioned fears remains:
‘Are these worries well-founded?’. In this paper, I would like to put emphasis on the reasons I do not believe in the prevailing unemployment due to the increasing prominence of AI. With respect to job losses due to AI, according to the World Economic Forum, it is estimated that 75 million jobs may be displaced by the shift of labor between humans and machines (2018). However, 133 million new jobs, emerged as an adaptation to this new division of labor between humans and machines, should not be disregarded. Therefore, a net gain of 58 million jobs is predicted in the period of the next four years due to the advancement of artificial intelligence.
Moreover, as the numbers of AI-powered systems will escalate, so the demand for jobs in the spheres of AI development, testing, programming, and maintenance, as the machines are not yet capable of running smoothly without any human intervention. In their analysis of 1000 large companies, which adopted AI-powered systems, Wilson et al. (2017) identified three new categories of jobs, in the spheres of business and technology, created to assist AI, explain AI, and guarantee the safety of humans or minimize the risks of AI: trainers, explainers, and sustainers. The first category, trainers, will teach AI how to ‘behave’; more specifically, aid to understand the subtle nature of human communication.
According to the authors, a New-York based start-up, Kemoko has developed a novel machine-learning algorithm to help AI-powered assistants, such as Siri and Alexa, to respond to humans with empathy. The second category, explainers, will help to explain the sophisticated machine-learning algorithms to nontechnical professionals. For instance, algorithm forensics analysts will help to identify the mistakes of AI-powered systems and the causes, resulting in immediate correction. Professionals in the third category, sustainers, will help to ensure that human values are upheld in the performance of the AI systems.
One of the jobs, possibly emerged in this category, the ethics compliance manager will ensure certain biases, such as those in credit approving algorithms, discriminating against people of certain ethnicity or professions, will be identified and eliminated. Moreover, a study by Capgemini Digital Transformation Institute of 1000 companies implementing AI describes the opportunities driven by AI: KLM, the Dutch airline company has been able to improve its customer service efficiency by 35% by employing AI-assisted human agents. Similar benefits, originated from the increasing prominence of AI, could, in turn, lead to the further development and expansion of businesses, creating more jobs (2018). Certainly, as supported by several recent studies, AI can pose many jobs at risk. According to the World Economic Forum, routine-based, ‘white-collar’ works are likely to be automated in the period of the next four years (2018). However, certain jobs, due to their nature, are highly unlikely to be automated, at least in the following five decades. These professions may include those in the spheres of healthcare (ex. therapy, surgery) and education.
While AI-powered systems may excel humans in tasks, such as calculating, organizing big data sets, finding relationships in a sophisticated data analysis, empathy, feelings, or facing novel situations are not their forte. Machines can outshine humans at ‘frequent, high volume tasks’. For example, a professor can read 10.000 essays in one’s 10 years long career, while the AI-powered machine can read millions of them in just one minute; the ‘winning’ algorithms were able to match the grades given by the professor. Likewise, AI systems lack the ability to quickly adapt or respond to novel situations as they need to learn from large volumes of previous data to draw certain conclusions (Goldbloom, 2016).
A task, such as developing a business strategy, which requires the development of innovative ideas, would be accomplished more effectively by a human than an AI. Additionally, AI is not (yet) able to experience and/or understand human emotions. TopTenz (2018), in the list of 10 jobs irreplaceable by AI, specified psychologists, as AI lacks empathy; this is further supported by the fact that mental health and substance abuse social workers have only a 0.3% probability of being automatized (Frey & Osborne, 2013). Not only do they lack human feelings, but AI also cannot convey ideas in a way understandable to people. Zack Thought, a full-stack programmer and a big fan of the Game of the Thrones taught AI to write the next chapter in A Song of Ice and Fire series by George R. R Martin.
TopTenz quoted the novel to demonstrate the AI’s overly complex language: ‘This dragon does not say we had four of a band, or no men or rats and two singers…’ ('10 Jobs Artificial Intelligence Can’t Take Away From Humans', 2018). As humans are the creators of AI, they will be able to control AI-powered machines or collaborate with them, rather than bolstering the competition for jobs. More specifically, three ways, in which AI systems can expand human capabilities have been identified: amplifying, interacting, and embodying. AI systems can amplify or boost human abilities in decision-making, ‘providing the right information at the right time’ ('How Humans and AI Are Working Together in 1,500 Companies, 2018).
According to Jarrahi (2018), AI has outshined humans in difficult tasks with superior quantitative and analytical capabilities. AI will sift through the data to underline the most interesting trends, and human managers will be able to make decisions based on the conclusions from the data, instead of leaving the decisions to be made by AI. AI can innovate human-machine interaction by providing customers with a more effective service: a Swedish bank is already adopting an AI-powered agent named Aida to provide service to millions of customers. However, even though she is able to ask follow-up questions to clarify the issue and recognize the tone of the voice, she escalates to humans in 30% of the cases. To provide better customer service in the future, Aida can monitor the interaction between the human agent and the customer.
Thirdly, AI helps humans in ‘embodying’: ‘cobots’ or context-aware robots powered by AI system, are working alongside humans in labs, factories, and warehouses. Specifically, robots are being widely used in the auto assembly sphere, performing tasks involving repetitive processes, such as assembling and screw-driving, especially for high precision and/or quality, and dangerous tasks. Contrary to the popular belief, the chances of all or nearly all human workers being replaced by AI systems are very low. AI systems are predicted to create more than 50 million jobs in just a period of the next four years. Certain jobs, due to their nature, such as those in the spheres of counseling and the arts, are not likely to be replaced by AI in the next decades. Moreover, instead of entering the race for jobs with AI, humans will be able to control or collaborate with AI systems, enhancing human capacities and providing more opportunities for business growth.
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Artificial Intelligence is any Type of Computer System
Artificial Intelligence, also known as AI, is any type of computer system programmed to do things that would normally require human intelligence such as visual perception, speech recognition, decision-making, and translation between languages. Artificial Intelligence can be used for many things, but many people do not realize that AI is actually part of our everyday life. Siri, Google, Alexa, Amazon, Pandora, Tesla, Nest, and Netflix are just a few examples of AI in our everyday life. Artificial Intelligence is all around us, but did you know that it can actually help people struggling with depression, anxiety, and social disorders?
The National Institute of Mental Health says that 17.9% of all adults in the United States experience some kind of mental health issue. That’s about 1 in 5 adults! Unfortunately, therapy can be a costly and inconvenient way to receive help. One 55 minute standard talk therapy session can cost between $80 - $120. For many people with a low income, this is simply too much money. Mental health disorders now top the list of medical conditions with the highest estimated spending, averaging around $201 billion annually. So how can those with mental health disorders receive help? Artificial Intelligence Therapy is quickly becoming a popular and practical solution.
AI therapy is becoming increasingly popular with new designs being developed and researched. AI is cheap, with many options for AI therapy being low to no cost. You can receive help whenever you most need it, without having to pre-book an appointment with a therapist. One popular option for AI therapy is Woebot, which was developed by Dr. Alison Darcy who is a Clinical Research Psychologist. Woebot is similar to an instant messaging service that you can use on your phone. Woebot may ask questions about your mood and thoughts and learn about you to offer CBT therapy. CBT therapy is used by psychologists around the world. CBT stands for Cognitive Behavioral Therapy. Woebot aims to be as similar as possible to a face-to-face meeting with a certified therapist. Although Woebot is just a robot and cannot replace human connections, experts agree that AI therapy makes CBT more accessible and easy to use for the modern lifestyle.
Another easy-to-use option is an app called Youper. Your is free to use and download and is available on both Google Play and the App Store. Your offer quick conversations, guided meditations, and a mood tracker to help you be in control of your mental health. Yours is easy to use and 100% free. You actually act as a therapist, and the mood tracker and guided meditations are an added bonus to conversion therapy.
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Practicality of Artificial Intelligence in Life
A man by the name of Colin Angle, the chairman, chief executive officer, and founder of the robot in-home vacuum cleaner once said “It's going to be interesting to see how society deals with artificial intelligence, but it will definitely be cool.” Society has definitely made some serious technological advances in the past century. Mankind has developed machines that can provide the workforce equivalent of ten people combined. Society today could not function without the internet, which holds at least 4.42 billion web pages. Nothing can compare to the world’s most complicated computers. Inventions that can do your homework for you, answer almost any question you ask, fly people anywhere their heart desires, and even drive you to school. The line is blurred between computers that are programmed and programs that adapt for themselves. I'm talking about artificial intelligence or AI for short. But scientists didn’t just come up with these ideas out of the blue, they had precursors to start with.
The very first recorded idea of a functioning “mechanized automata”, a fancy name for the robot, was captivated by the well-known sculptor, painter, and inventor Leonardo Da Vinci. He theorized what he called the “automatic Cavaliere” which is a life-sized robot that could move its limbs by programming the gears and different mechanisms inside. This was discovered in his journals around the year 1950 and a modern recreation of his invention along with the inner mechanisms is now on display in Berlin, Germany.
In 1940, a science fiction writer by the name of Isaac Asimov wrote in one of his works the three base rules for a robot. The first law is “A robot may not injure a human being or, through inaction, allow a human being to come to harm.” The second law is “A robot must obey orders given it by human beings except where such orders would conflict with the First Law.” The third law is “A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.” This was the original thought of creating a machine that worked and thought for itself.
The Dartmouth Workshop, organized in 1956 by John Mcarthy, was an eight-week conference where scientists basically brainstormed and coined the term artificial intelligence for the reason that “every aspect of learning or any other feature of intelligence” could be manmade or simulated.
One of the most well-known pieces of artificial intelligence is in this room as we speak. Apple’s very own virtual assistant, Siri, was invented in 2011 and took the world by storm. The thought of asking a phone to do a task for you and have that task completed with almost no effort was a miracle at the time. We have come a long way from having our phones check the weather or FaceTime our friends just by speaking a sentence. There are a lot of innovations of AI present in today’s society other than Siri and little robot vacuum cleaners.
One of the more prominent AI’s used in the everyday world is google maps. You put in a destination and the system’s AI takes your location and your destination to find the quickest route for travel. It factors in current roadblocks and detours, traffic jams, wrecks, and roadwork to spit out the route, miles, and time that it takes to get there. This type of system also is used primarily with other examples such as apple maps. Uber and Lyft use AI like this but they also take it up another notch by factoring in amounts that it will charge for travel and sending the transport to your current location.
Another example is Amazon’s own competitor with Apple’s Siri, Amazon Alexa. Not only can Alexa do everything that Siri can do, but it can also do things such as control your smart home, order things online, schedule appointments, make reservations, control your music playlists, and much more.
Two of the most used social media apps in the world, Instagram and Snapchat, are also perfectly relevant examples of AI in everyday use. Instagram uses the process of machine learning, which is using AI to identify patterns and make assumptions based on those patterns to take words and slang such as okay and replace it with a thumbs-up emoji or take lol and replace it with a laughing emoji. Snapchat released its first filters in 2015. These filters use AI to track your facial movement and head tilt to add the effects of the filter and adjust it accordingly. Not only does it just use AI for filters, it uses the GPS technology that I mentioned earlier with its SnapMap feature. It takes your location and your last know activity and broadcasts it to all of your friends, and vice versa with their location and activity being broadcast to you.
Last but not least everyday use of artificial intelligence is medical robots. They were created to reduce human error to the lowest possible margin (given they were programmed and built correctly) by being remotely controlled by a surgeon or completely automated if the system has adequate machine learning from prior surgeries. This medical advancement has brought the surgery failure rates down to 0.38 percent for its main procedures which are laparoscopic surgeries. This machinery in the future could bear the possibility to be more precise than the most-skilled surgeon’s hands, but that’s not the only possible capability for AI. Just imagine the possibilities that make our minds race and wonder what the future could hold.
Imagine having a personal robot to handle all of your daily tasks for you. Something along the lines of C-3PO from Star Wars. A humanoid to fix your food, clean the house, fold laundry, make beverages, and even keep up conversations. Honda has released a product called ASIMO for the cool price of $2,500,000 which is capable of basic human tasks, but nowhere near something from The Jetsons yet. With the advances in technology, there is no doubt it will be here before long.
What about imagining a microscopic, self-diagnosing nanobot to inject into your bloodstream? The bot would analyze the blood in your system, make a diagnosis, and find the bad cells and diseases by itself and adapt accordingly to neutralize the problem.
Maybe you could even imagine an AI-controlled satellite defense system for missiles instead of standard missile defense systems. Imagine a computerized brain detecting, tracking, and stopping missiles without human interaction before they ever get near the United States. With recent technological and weapon advancements, this is definitely a possibility for the future of mankind.
We have touched on how artificial intelligence first came to be, we have talked about what our parents dreamed about as kids is now at our fingertips for our disposal, and we have talked about how what we dream could be possible will soon be at our children's fingertips.
Artificial Intelligence is here to stay and the world is racing to uncover its next big innovation. We can't even begin to comprehend the limits of AI nor predict the road of its future. We can only imagine and brainstorm what the future holds for us.
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Artificial Intelligence (AI) is Advances in Computer Science
The issue is if we rely on AI to bring us into a new world of labor, security, and efficiency, we need to ensure that the machine performs as planned and that people cannot overpower it to use it for their own ends or the AI is programmed to do something beneficial, but it develops a destructive method for achieving its goal. People currently control the Earth, not as a result of being the strongest, quickest or biggest, but as a result of being the smartest. Are we assured to stay in control if we’re no longer the smartest? Bill Gates, Elon Musk, Stephen Hawking, and many other notable names in science incorporating technology have recently expressed concern within the media and via open letters regarding the risks exhibited by AI, joined by several leading AI researchers. Why is that the subject suddenly within the headlines?
They do it much faster and efficiently, they were designed to do so. For example, a beater can whip cream much better, faster and with less effort, whereas if a human does it with a whisk, he will have to put in the muscle and will have to put in much more effort as compared to whipping cream with a beater. The same goes for cars versus bicycles; a car is much faster and requires lesser manual labor as compared to a bicycle. But these machines are controlled by humans; they don’t have their own judgment or feeling. However; lack of biases and emotions are often a bonus in several things. There are two sides to that coin. A machine that lacks biases and emotional issues conjointly lacks humanity and compassion. As long as the associated AI algorithmic rule is achieving its goal, it doesn’t very care what harm or damage it does.
The subject of concern is that machines already work better, faster, and more efficiently than humans yet they are still controlled by humans. But if they’re given the judgment of their own, it can be quite dangerous, as man would have lesser control over the machine’s actions. If it’s given a goal, it can adopt a destructive way to achieve it. Paul Virilio, a french philosopher fore-mentioned that after you invent the plane, you may invent the plane crash. With AI still just about in its infancy, we tend to simply sort what AI “plane crashes” seem like. Here’s a realistic example of an intuitive AI. Suppose an AI device for the blind is invented, that instructs blind people of their surroundings, and even reads those books and messages. As soon as it'd realize that it was being used by humans for their benefits, it could surely misguide its user into an accident and whatnot.
There are several moral, financial, technical, economic, and military dangers to such a powerful technology. Slightly wrong coding could lead to loss of control and cause disastrous consequences. There are several moral, financial, technical, economic, and military dangers to such a powerful technology. Slightly wrong coding could lead to loss of control and cause disastrous consequences. For example, recently the world went through a drastic change, what we call a new era of digital interference. Technology has now taken over as a parasite destroying the capabilities of human beings. However, some people think the fact that AI exists shows how intellectual some human beings can be. We live in a world where power is more salient than humanity. Latterly the world experienced a wave of terrorism which not only worried the people but only caused a lot of panic amongst the government. However, if the computer decides according to its own judgment and understanding, That is, the computer having artificial intelligence, thinking and reacting like a human would, that is a controversy in the subject. There are faster and stronger species than humans, yet humans have control over everything. That’s because humans are the smartest. But what if artificial intelligence outsmarts human intelligence?
One of the most feared consequences of artificial intelligence is it outsmarting human intelligence, and having the power to act with its own judgment. Taking the example of playing football video game with pc, when the player makes a move, the AI system is itself judging what move to make next. Same goes for playing chess with computer, the AI judges what move to make next in accordance to the player's move. This shows how AI is learning from its environment.
DISRUPTING LABOUR
Artificial Intelligence-based systems and chatbots are taking every industry by storm. As much as they are assuming a critical part in improving assignments and procedures, their impact on human-focused employments and abilities in the work environment has turned into a noteworthy argument. Robots have remodeled industrial manufacture, and currently, they're being rolled out for food production and restaurant kitchens. Already, artificial intelligence (AI) machines will do several tasks wherever learning and judgment is needed, together with self-driving cars, insurance assessment, stock trading, accounting, HR and many tasks in health care.
It’s certainly true that the advent of AI and automation has the potential to seriously disrupt labor – and in many situations, it is already doing just that. A 2013 Oxford University study estimates that 47 percent of U.S. jobs could be replaced by robots and automated technology within the next two decades. This information is taken from CNBC, a business news channel. A bold step has already been taken by Fukoku Mutual Life Insurance in Japan. The company stated that by the end of March, 34 of its employees will be replaced with an artificial intelligence system that can calculate payouts on policyholders. Although this may look like just a tiny cost-cutting technique by a company, it has a much deeper impact. This information has been taken from business.com, and the writer John Barnett has experience of 14 years in the IT industry which is why I consider this source strong.
A.I. is always ready to surprise us. One example of a chef robot was created using IBM’s Watson technology. Referred to as chef Watson, it’s ready to generate entirely new recipes from scratch using an astonishing knowledge of taste chemistry and flavor pairings. Meanwhile, robots like Miso Robotics’ burger-preparing Flippy are capable of making meals and serving them up at speeds that human chefs struggle to attain. Add table delivery drones into the combination and you don’t even want human waiters to deliver the food to customers. It raises the question of what's going to happen in the long run for employment.
However, seeing this as a straightforward transfer of labor from humans to machines is a vast over-simplification. This information is taken from digitaltrends.com which is a technology news website and I consider this source strong as it contains facts and figures to prove its point.
One of the most dangerous areas where artificial intelligence could be introduced is weaponry. Autonomous weapons have been described as the third revolution in warfare, after gunpowder and nuclear arms. If someone makes mini bombs or drones, there are so precise they can make a bulls-eye on the forehead of a person in a split second and not miss. Through AI, with a little misconception of code, the machine can easily be corrupted. The AI system could be hacked and used for killing innocent people. With the introduction of emotion and understanding to AI, it is very possible that the weapon forms an army, like millions of same weapons or robots with the same decision to kill humans. If any major military power pushes ahead with
AI weapon development, a global arms race is inevitable, and the endpoint of this technological path is obvious: autonomous weapons will become the Kalashnikovs of tomorrow. Unlike nuclear weapons, they require no costly or hard-to-obtain raw materials, so they will become cheap for all significant military powers to produce large scale. It will only be a matter of time until they appear on the black market and in the hands of the wrong people. Also, criminals could use them for nefarious purposes. When most people think about killer AI taking over the planet, they usually think of a “Terminator”-like scenario populated by rogue cyborgs, Skynet, and an epic battle between man and machine. While even the Future of Life Institute admits that a “Terminator” future for AI confuses fact and reality, there is a real need to make sure that super-smart autonomous weapons systems don’t start overriding their human masters in the future.
Perspectives
On a global level, AI will be revolutionary. It will change the course of the future for sure as low wages unskilled jobs will be taken over by machinery and people will lose jobs. However, AI being on the rise will provide more jobs as with more power comes more responsibility. AI brings about a lot of Ease but there are two sides to every coin, it can be disastrous as well and to control that much power, people will be employed. Experts in the field like Elon Musk fear the harmful consequences of AI hence they are strongly against it however many other experts are looking on the bright side and suggesting that AI is the future. AI will bring a wave of change to all sectors of life like Jobs, education, etc.
Nationally, AI-induced machines will make businesses more profitable and will create more wealth that could support everyone. Because of this the ever-growing disparity between the rich and the poor will disappear. There will be more money for the government to spend on advanced machinery and technology making the country more developed. The living standard of people will improve and poverty and disease will be eradicated. Surely such revolutions don’t happen in a nick of time, this will take time but the nation will prosper.
On a personal level, people will have to work for shorter hours and have more time for leisure and holidays. Machines will do all the clerk work while people work for a fair amount of time and stress less, improving health, relationships, etc.
It is more than inevitable for technology and AI to take over a lot of human jobs in the future, due to its effectiveness and speed of performing instructed tasks. However, it'd be a huge mistake to make an intuitive AI. Sure, an AI that could think a lot on its own could be extremely beneficial for crime investigation and other intelligence-related things, but it also brings the possibility of being misused, and even worse, the possibility of the AI realizing that it's being misused.
Conclusion
There are many benefits of an AI future, such as population control, quicker task performances, easier education etc, but the fear of it being misused is something that matters much more, and it's something that every tech mastermind should already prepare a checkmate for.
A few centuries ago, it was Lady Ada Lovelace, who with her mathematic yet artistic mind was able to foresee and predict what we now call AI. And to foresee an AI like 2001: A Space Odyssey's HAL-9000 is much easier than what she foresaw. While many people despise the fact that AI is taking over most of the repetitive and task-oriented jobs, it is for the better of us, as it would most definitely provoke humans to go out of the box and do more than what an artificial intelligence system can. So it’s time for us to have tech-revolutionaries like Ada, which are able to foresee and prepare.
Reference List:
- Barnett, J. (2017). Will AI Revolution Lead to Mass Unemployment?. [online] business.com. Available at: https://www.business.com/articles/john-barnett-artificial-intelligence-job-market/ [Accessed 4 Sep. 2018].
- Future of Life Institute. (2018). Benefits & Risks of Artificial Intelligence - Future of Life Institute. [online] Available at: https://futureoflife.org/background/benefits-risks-of-artificial-intelligence/ [Accessed 11 Sep. 2018].
- Ward, M. (2017). AI and robots could threaten your career within 5 years. [online] CNBC. Available at: https://www.cnbc.com/2017/10/05/report-ai-and-robots-could-change-your-career-within-5-years.html [Accessed 13 Sep. 2018].
- Palmer, S. (2018). The Pros and Cons of Artificial Intelligence - DevTeam.Space. [online] DevTeam.Space. Available at: https://www.devteam.space/blog/the-pros-and-cons-of-artificial-intelligence/ [Accessed 7 Sep. 2018].
- Future of Life Institute. (2018). Benefits & Risks of Artificial Intelligence - Future of Life Institute. [online] Available at: https://futureoflife.org/background/benefits-risks-of-artificial-intelligence/ [Accessed 11 Sep. 2018].
- Marr, b. (2018). [online] Forbes.com. Available at: https://www.forbes.com/sites/bernardmarr/2017/10/03/5-myths-about-artificial-intelligence-ai-you-must-stop-believing/ [Accessed 9 Sep. 2018].
- Digital Trends. (2018). Replaced by robots: 10 jobs that could be hit hard by the A.I. revolution. [online] Available at: https://www.digitaltrends.com/cool-tech/8-example-of-jobs-automated/ [Accessed 1 Sep. 2018].
- Future of Life Institute. (2015). Open Letter on Autonomous Weapons - Future of Life Institute. [online] Available at: https://futureoflife.org/open-letter-autonomous-weapons/ [Accessed 1 Aug. 2018].
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IDENTIFY a BUSINESS THEORY|FRAMEWORK
In the 70s and 80s, digital clocks were probably the most advanced-looking technology visible in doctor’s offices. But nowadays, when you look around in medical facilities and hospitals, digital clocks are now built into the anatomy of the many technical devices ticking and running rapid. In fact, you probably couldn’t look more than ten feet without seeing some sort of advanced technology. For the past several decades, technology has been advancing at exponential rates, which in effect is feeding and strengthening Artificial Intelligence (AI).
Artificial Intelligence is comprised of technologies such as deep/machine learning, heuristics, pattern matching, and natural language processing that train machines to solve problems that are typically performed by humans, and to solve problems too complex or difficult for humans. In the simplest terms, Artificial Intelligence is the ability of computer-based systems to think, learn, and behave like humans (Laudon & Laudon, 2018). Even though AI concepts and theories actually first emerged in the 1940s, during the last decade, a perfect storm of big data generation, cloud-based storage and processing, and refined algorithms and techniques have fused together to create an AI explosion. Artificial Intelligence is no longer a science-fiction notion. Its presence is now almost everywhere…even alongside (or in place of) your beloved doctor, nurse, and their supporting staff.
Even though Artificial Intelligence is still in its infancy in the medical field, it has already had great positive effects in this industry and is expected to explode profoundly over the foreseeable future. Robot-assisted surgeries and the IBM Watson system have been in existence and hugely successful for a while now, but new technologies such as virtual and digital assistants, chatbots, and wearable health trackers have surfaced only in recent years and have yielded positive results thus far. There are many new exciting, cutting-edge medical innovations in development that are expected to dramatically change people’s lives for the greater good such as the artificial pancreas for diabetics that will continuously monitor blood sugar; a brain implant to improve memory for those with Parkinson’s and Alzheimer’s disease and epilepsy, and tooth sensors to monitor and track food intake…and those are only just a few.
These astonishing, rapid advances in Artificial Intelligence applications in healthcare are already yielding better patient outcomes, optimizing processes, increasing productivity, improving efficiency, empowering patients, improving the patient experience, saving time, and optimizing revenue. Savings currently realized from utilizing Artificial Intelligence in healthcare include reduced labor costs, less medical waste costs, increased output and efficiency due to AI’s continuous operations with higher capacities, and better effectiveness over time. According to a report from Frost & Sullivan, the use of Artificial Intelligence tools in the healthcare industry could potentially improve outcomes by 40%, while also cutting treatment costs by 50% (Duclos, n.d.).
The Fourth Industrial Revolution is a theory about how the world economy has recently started the transformation from combining the physical, biological, and digital worlds because of explosive development and growth from disruptive technologies and trends such as robotics, virtual reality, automation, the Internet of Things, 3-D printing, machine learning, facial recognition, self-driving vehicles, and Artificial Intelligence (Schwab, n.d.). This new revolution is building from the digital technologies that resulted from the Third (Digital) Industrial Revolution of computers and information technology by developing new methods in which technology becomes rooted within societies and the human body (Fourth Industrial Revolution, 2018). This is the fourth major industrial period since the first one back in the 18th century, but this revolution significantly differs from the other three because of the unprecedented, accelerated rate and extent at which new technological breakthroughs are emerging, and because of all the radical changes expected.
The foundation of The Fourth Industrial Revolution is its advancement in communication and connectivity. The whole world is going digital, and Artificial Intelligence is powering it. Artificial Intelligence is embarking on all industries with its incorporation of robotics and virtual reality capabilities in place of human labor. Experts predict that Artificial Intelligence will have more of a positive effect by enhancing and improving people’s lives rather than causing chaos and destruction, and it will help organizations become more proficient.
Some organizations are more accepting and embracing of Artificial Intelligence than others, but this conversion is now becoming a necessity in order to stay afloat because of the digital world around us which is only to get more and more prevalent and necessary. Artificial Intelligence has embarked on the healthcare industry with mostly positive outcomes so far. It has helped streamline and improve operations in the healthcare value chain, i.e., patient admissions, diagnosis/treatment/care, and health monitoring/checkups (Value Chain Of Hospital, n.d.). The adoption of AI is predicted to vastly improve the patient experience, improve outcomes, and empower patients to take better control of their health. If AI innovation is not implemented, there will be a notable decrease in the quality of care being provided, mostly due to the vast number of patients that will need to be provided for over the next several decades.
The Fourth Industrial Revolution technologies are so advanced that they are being programmed to mimic and augment human actions. As a result, this will reshape the way people live, work, and interact with each other, and it will eventually impact all lines of work, economies and industries, which could create both opportunities and dangers. Some people even fear it will challenge what we think it means to be human (Marr, 2016). Economists are unsure of the outcome of Artificial Intelligence – it could be a double-edged sword. These technological developments are intended to improve people’s quality of life and to improve organizations’ efficiency levels; however, these technological disruptions also bring the fear that human jobs will be overtaken by these automation, and some extremists think machines will eventually become smart enough to outsmart and overtake humans, causing unconceivable mayhem. Therefore, the world could transform into either a nirvana or dystopian state, depending on the outcomes from this new revolution that will unfold over the 21st century. The future state depends heavily on how well world governments plan and manage its new capabilities to ensure security (Spacey, 2016).
ANALYZE TECHNOLOGY THROUGH THE CONTEXT OF THE THEORY
The digital transformation in healthcare is already in full swing. According to a 2016 report from CB Insights, approximately 86% of healthcare provider organizations are already using AI in some form (The Impact of Artificial Intelligence in Healthcare, 2018). Physicians are starting to trust and rely on Artificial Intelligence and machine learning to help make their job easier, less stressful, and decrease burnout. By using its deep analytic capabilities, AI can quickly search through massive amounts of patient data in their electronic medical records to help clinicians with diagnosing and choosing appropriate treatment plans. Artificial Intelligence is making great progress toward the capability of early disease detection and serious conditions through imaging diagnosis. Digital assistants and chatbots can assist patients with appointment scheduling, insurance verification, billing, and be programmed to answer patients’ basic inquiries.
The fusion of Artificial Intelligence and machine learning is creating the ability for non-humans to do human tasks. AI is causing a paradigm shift in healthcare by its increasing availability of data and its rapid progression of analytic methods. Today AI in healthcare takes this capability even further with the incredible ability to read medical images and to diagnose health problems (e.g., IBM’s Watson system). Of course, these advancements in technology are incredible and amazing, but they are not totally foolproof yet, especially to entrust to something as important as someone’s health, or even their life. Even though patients are increasing their comfort levels and trust with AI technology, that does not decrease the value they put on a face-to-face encounter with an attentive, caring human physician. Robots do not have moral values and they are not capable of emotion or empathy when talking to patients or their families about conditions or treatment options, so they cannot offer support or comfort if the patient’s condition is serious.
Artificial Intelligence such as digital assistants and chatbots, help with tedious clerical functions such as scheduling and confirming appointments, verifying insurance, and billing. On a nursing level, virtual nursing assistants can perform basic tasks such as assessing a patient remotely (a.k.a., telehealth) by posing simple questions to determine whether their symptoms are severe enough that they need to come in to see a provider. Artificial Intelligence supports clinicians by performing their routine, mundane tasks such as EMR documentation, administrative reporting, and triaging CT scans (Arguing the Pros and Cons of Artificial Intelligence in Healthcare, 2018) so they can devote more time to doing the clinical tasks they enjoy and were specifically trained for, and most importantly, so they can spend more valuable one-on-one face time with their patients. Robots assist surgeons with certain types of surgical cases. On a management level, AI’s ability to filter through massive amounts of data can assist hospital administrators to optimize performance, drive productivity, and maximize the use of existing resources, which generates savings for cost and time.
We are only beginning to see a glimpse of the potential of Artificial Intelligence. It is definitely here to stay. It is expected to continue to develop at extraordinary levels, so its future appears to be bright and full of endless opportunities, only bound by human imagination. The Artificial Intelligence healthcare market growth is anticipated to grow to $6.6 billion by 2021, which is a 40% compounded annual growth rate; and in the next five years, it is expected grow more than ten times (Artificial Intelligence in Healthcare, 2017). There are innumerable astonishing technological innovations in the works that are expected to surface which are projected to deliver healthcare in even faster, better, and less expensive processes, and will enrich and empower patients. Artificial Intelligence has tremendous potential to allow people better access to quality healthcare by freeing up clinicians’ attention so they can focus on higher valued problem-solving responsibilities while still ensuring a consistently high quality of performance. Even though there is the possibility for AI technologies to be abused and to transform into menacing machines, the greater likelihood is that they will instead help children with learning, make driving safer, and extend and enhance people’s lives.
As Artificial Intelligence continues to mature and it gains more experience, its capabilities will continually lead to more improvements in efficiency, precision, and outcomes, which will positively impact the bottom line for organizations (Healthcare AI poised for explosive growth, big cost savings, 2017). According to a study from Accenture, by the year 2026, the United States healthcare economy can potentially generate $150 billion in annual savings from using Artificial Intelligence (Artificial Intelligence in Healthcare, 2017). It is predicted that Artificial Intelligence will vastly improve the healthcare industry from its assistance with informed decision-making, detection and diagnosis; cost-saving; and automation of processes and repetitive tasks. Expected results include: reduced emergency room wait times and fewer trips to the clinic because of telehealth, fewer cases of misdiagnosis, fewer accidental deaths which will decrease lawsuits, patients will be healthier and more motivated, decreased human errors, decreased amounts of medical waste costs, and increased quality, productivity, and profitability to a broader range of people. Organizations that embrace, understand and utilize Artificial Intelligence will be the winners. Those who reject it will be the losers.
To prepare for the invasion of Artificial Intelligence in organizations, their leadership should review and revamp their processes to include procedures on how to work with Artificial Intelligence and to foster an AI-educated workforce and culture prepared to embrace and adopt AI to enhance quality, productivity and profitability. As Artificial Intelligence technologies are improved and perfected, they should actually make people’s jobs easier and more productive. Many people worry that automation will overtake everyone’s jobs, creating massive unemployment. However, experts believe that Artificial Intelligence will instead positively influence the future of the workforce by AI working in tandem with people and their jobs, a redesign of current jobs, and even the creation of new jobs. It is more likely that a friendly R2D2-type will be working harmoniously alongside humans rather than a menacing Schwarzenegger-looking Terminator cyborg.
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Artificial Intelligence in Medicine
When consumers are first exposed to AI in the medical realm, their first response is hesitation, and rightfully so. Humans' natural tendency is to process and know the system potentially being performed on them before having it perform a task on them. Longoni, Bonezzi, and Morewedge discuss different studies that illustrate human tendencies and the problem of consumer public approval in nine studies. These points are backed up by data points and research. In study 6, Longoni discusses how artificial intelligence has been neglected by the public to perform its works. Consumers believe that artificial intelligence is not able to see the severity of responsibility. In addition, artificial intelligence also lacks the capacity of having human-like emotions, which is crucial in the workforce. After these were conducted on humans, the results showed that the overall uniqueness of these systems has too many questions than answers to be trusted.
This study will work perfectly with my exploratory essay because it conducts studies showing how artificial intelligence’s limitations make it hard for the public to approve of this system. In this article, the authors compare and contrast different ways artificial intelligence can be used. Machine learning does not only include learning algorithms but being specialized in different sections of medicine. Alsuliman, Humaidan, and Sliman also discuss how artificial intelligence, not necessarily in the medical realm, has been growing exponentially. It addresses more on the positive side of artificial intelligence than the previous entry. Artificial intelligence has a vast variety of applications like radiology (science dealing with radioactive sensory tools), hematology (advanced study in the blood), neurology (anatomy science), and etc.
The use of hematology goes in-depth about how crazy visualizations using technology can test bloodstreams levels in patients to see results. We will focus on one specialized area in how artificial intelligence helps disorders using laser technology. Through many cases using AI labeled as the HbE (Alsuliman 1) and IDA (Alsuliman 1) which has been connected to Thalassemia, a blood disorder in humans, it has been proven that artificial intelligence is accurate. This will help my essay by showing how artificial intelligence can potentially revolutionize the world as it surpasses humans in this aspect. One of the studies showed that this system has 91% of efficiency when checking samples. This can also apply to my essay by proving that the future of artificial intelligence is dark in some aspects but also looks bright. This article examines how artificial intelligence is changing health care as well as physicians applications.
The article discusses how many professors and case studies, present the impact of artificial intelligence on the medicine world. They continue to dive in-depth about the promises that artificial intelligence has to this day. Artificial intelligence has a low threshold, but the studies show that the good outweighs the bad. Some promises have already been accomplished by artificial intelligence which includes documentation of healthcare in a faster, less chance of error way. In one of their specializations, cardiology, artificial intelligence has been shown far more than beneficial. It can be used to prevent the risk of cardiovascular disease by detecting signs earlier. Due to a vast number of studies, they also predicted out of a number of patients how many would have a heart attack due to family history.
This can be used in my paper as showing it can help prevent and find solutions for diseases as well as predict outcomes before an event of a health problem. Artificial intelligence has been proven to be hurtful in many aspects, but there are good to weigh the bad. This article is more unique than the others as it connects artificial intelligence to drug discovery. Artificial intelligence is thought to be beneficial in drug discovery as well as resistance. It can be used to identify different drugs and prescribe the right one to a patient. However, there is a problem with this as people react in different manners to different medications, but they are proven to try to answer the questions of reliability. Furthermore, artificial intelligence has gotten a lot of praise in recent years and especially now with drug discovery and cancer treatment. In one of the sections called, “Artificial Intelligence Methods Applied to Identify Variants/Mutations from Genetic Data” (Nagarajan 1), one of the systems called convolutional neural networks is to signify when different genes are mutated.
This machine is proven to be prevalent in today’s world as it uses an algorithm tested by physicians to get results. This applies to my paper in an amazing way as computational/artificial intelligence can be used to help patients out in finding the right drug. Sometimes physicians prescribe the wrong drug due to insufficient knowledge of research or sometimes human error, but with AI this will limit both of those factors. With this new finding, the sky's the limit to how these systems can be used for cancer resistance and drug discovery. The article starts by addressing current questions that people might have about artificial intelligence. Then it transitions into some quick history about the first discovery and the upbringing of computers. Akl and Salay address how there are different aspects in artificial intelligence currently like facial recognition and even photographs captions.
The rest of the article then dives deeper into providing evidence and reason to see if artificial intelligence has a bright future or not. One of the aspects they looked into was the algorithms machine learning takes and the strengths/flaws from it. Are robots trustworthy? Will artificial intelligence ever meet or surpass the needs of the public? Will a computer gain the capacity to completely overtake humans' jobs’ positions or does it have a ceiling before then? These are all legitimate questions asked by Akl and Salay in this article. The authors suggest in these paragraphs that artificial intelligence does have a bright future with human-like knowledge, advances in emotional behavior like humans, and better algorithms for even patients with different needs/wants in the procedure.
This applies to my paper well as it provides a great foundation to show yes AI does have questions, but they are shown to have answers.This ebook goes in depth of its perception and facts that show that artificial intelligence has shown an increase in unemployment in the world. Artificial intelligence has been beneficial in tons of ways, but it has made a lot of people scrambling for a job. It lastly talks about how we as humans can ensure that not all of our jobs will be taken away. One of the sections of the ebook called “Technological Unemployment” (Korinek 29) actually shows how unemployment pertains in artificial intelligence instead of the obvious fact of humans losing jobs.
Since artificial intelligence jobs are usually work-intensive but not done by humans which creates massive wear and tear, balancing wages between the two become very complicated. It causes only two scenarios in which a balance has to be restored or lowering wages significantly for one party has to take place in order to achieve fairness all around. If fairness even was achieved between majority AI workplaces and majority human workplaces, redistributions are complicated because people have not come up with a solution to this dilemma. This ties perfectly into my paper because I want to show how artificial intelligence impacts the economy as well as the advances it has placed. Also, it shows that artificial intelligence is again bigger than the workforce as it impacts the entire world.
I see a common theme of the sources reflecting back on caste studies to support their stances. I have also seen that these articles/journals/e-books have touched on not only the positive but the negative as well to either refute or support. The common gap I see in my research is the lack of connectors between artificial intelligence and different social classes. I have also begun to realize that my research lacks necessary information about growth over the years of AI in medicine.
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Artificial intelligence in medicine. (2021, Nov 26).
Retrieved November 3, 2025 , from
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Christine Sung Kim, Contemporary Deaf Artist
I find this quote very interesting, as it is not a common way for people to think of the arts, instead of many are overly concerned with the issue of whether what they create is “good” by the standards of others. Christine is an exhibiting artist who creates interactive visual pieces mostly based on the topic of redefining sound.
Born in 1980 in California, Christine and her sister were both born Deaf, Her parents are both hearings. She has loved painting ever since she was a very small child, and has never stopped since then. After attending high school in California, she moved on to the Rochester Institute of Technology where she received her degree of interdisciplinary studies. She also has a Master of Fine Arts from the School of Visual Arts in New York, and lastly another in Sound and Music from Bard College. Christine has based most of her artistic works in New York, as well as some in Berlin, Germany.
When Christine began her art career with her interest in sound, many were shocked at the idea and confused over how a Deaf person could interact with the world of sound. Christine states that just because she doesn't directly hear, that it does not mean she doesn't participate in that world, nor that it makes her voice and weaker than others (Sun Kim). For Christine, ASL is more than just a way to communicate, it can be a Deaf person's form of music. Because the concept she works with is not as concrete as others, Kim faced mountains of rejection in order to kick start her career. She has told interviewers of how quickly rejection letters from grants and residencies piled up, and how discouraging it truly is. As stated by Christine, “Being an artist is one of the most vulnerable things you can do for your mind and body” (Sun Kim).
A few of Christine’s larger and more famous visual arts works include “face opera ii”, which explores the incredible importance of facial expression in signs. In this work, Kim and a group of people who were also born Deaf take turns acting as if in a choir, using subtle facial movements. Another work, titled “busy days” explores the nature of sound through drawing. She began this journey into visual and interactive art when she felt her “Ideas were too big to be put onto canvas” (Sun Kim). Christine's large variety of mediums in her work brings something interesting for anyone, and her social commentary on our relationship with sound helps bring awareness of Deaf culture to the art community. She has been invited to many prestigious events and venues to share her message for the hearing world and continues to push her ideas by doing as many interviews, TED talks, and speeches as she can.
The more I looked into Christine's work, the more I began to understand the ideas she conveys. She explains the rhythms of ASL and uses the piano as a metaphor. Each finger is a note, using many at a time is like a chord, and when you take into account body movement, facial expression, spatial usage, handshape, speed, etc., it all adds up to convey a message to those who are willing to listen. Christine's inventive thinking has opened the eyes of many and left an impact on the art community. Not only from her art does she teach others, but also through her bubbly personality and excitement to share knowledge. I admire Christine's patience when it came to rejection, and her persistence to make her ideas known. As I also desire to pursue an art career, though it will look very different because of the mediums I chose, I can still apply that patience in my future and remember that it takes monumental determination to truly get to where you want to be.
Cite this page
Christine Sung Kim, contemporary deaf artist. (2021, Nov 26).
Retrieved November 3, 2025 , from
https://studydriver.com/2021/11/page/4/