Present day society is about to face unprecedented economic turbulence as a result of advancement in the capabilities of Artificial intelligence. AI will enable more advanced and more complex forms of automation that will harm countless jobs (Weber). Nevertheless, according to professional services firm PricewaterhouseCoopers “AI could contribute up to $15.7 trillion to the global economy in 2030” (Rao 3). In addition, AI will create new jobs, however the jobs created will require more skill and training than those lost. There are a number of economic and political measures that can be taken to hedge against these risks so that many of the benefits are taken advantage of at the lowest cost. The economic benefits of AI are extremely appealing According to the World Economic Forum “Currently, Artificial Intelligence (AI), the intelligence enabler for robots, is rather narrow (some might argue limited), which is why automation is very nuanced and focused on certain tasks. Yet, in the future, AI is likely to develop more general capabilities, which will translate into multidisciplinary robotic labour and more software solutions with human-like reasoning” meaning mass job loss is relatively unlikely in the very near future but will become a serious concern as AI and automation capabilities inevitably improve (Weber).This is what makes AI so dangerous from an economic perspective. McKinsey Global Institute estimates “that between 400 million and 800 million individuals could be displaced by automation and need to find new jobs by 2030 around the world, based on our midpoint and earliest (that is, the most rapid) automation adoption scenarios” (McKinsey Global Institute 11). The problem will only continue to get worse as the capabilities of AI advance since more tasks will be able to be automated. A report from the White House during the Obama Administration, concerning AI and automation, states “research consistently finds that the jobs that are threatened by automation are highly concentrated among lower-paid, lower-skilled, and less-educated workers. This means that automation will continue to put In order to maintain the human workforce while not hindering technological advancement, there needs to be a change in our education system. According to Harvard Business Review “ with AI taking over routine information and manual tasks in the workplace, we need additional emphasis on qualities that differentiate human workers from AI — creativity, adaptability, and interpersonal skills” (Kosbie). The article further explains that this means expanding computer programming at the high school level “with the world becoming increasingly digital, computer science is as vital in the arts and sciences as writing and math are. Whether a person chooses to become a computer scientist or not, coding is something that will help a person do more in whatever field they choose. That’s why we believe a basic computer programming course should be required at the 9th grade level” (Kosbie). In addition, the Obama Administration stated “technology is not destiny; economic incentives and public policy can play a significant role in shaping the direction and effects of technological change” meaning that our technological growth can be controlled and mass unemployment can be, to some degree, prevented (Executive Office of the President 3). An earlier report from the Obama administration listed multiple ways that the U.S. can succeed in the AI economy “investing in basic and applied research and
Related Documents: Artificial Intelligence Advantages
driver's license and credit card? What if all forms of transportation are autonomous, eliminating the need for a human operator. All of these scenarios will be made conceivable by artificial intelligence (AI) development. AI refers to the construction of a machine or program that will be able to emulate human intelligence, such as decision-making or speech recognition. While AI will be revolutionary in how society lives immensely, not all of it may be positive. Raising concern and controversy for many…
Artificial intelligence in modern time Abstract As name implies artificial intelligence is making the machines like human that can think like human and can do the work like human. Now a days’ in every step of our life we are using artificial intelligence like when we use Google and another shopping sites that sites using artificial intelligence understand that what user prefer. In many companies and industries human workers are replacing by the artificial machines that machines can do more work than…
INTRODUCTION In attempting to define the term ‘artificial intelligence’ (AI), it can be put into these four general categories: machines that think like humans, machines that act like humans, machines that think rationally, and machines that act rationally. The differences amongst these classifications may be very subtle. A straightforward definition of AI can be given as ‘the study of getting computers to carry out simple, cognitive human tasks’. (Emspak 2016) Robots are the machines which can be…
Prof. Bob McGovern English 122 4 May 2015 Paper 3 Recent advancements in artificial intelligence have proved to be very beneficial, especially in assisting doctors in making medical decisions regarding patient health. Medical practitioners are faced with the challenge of collecting and analyzing large amounts of patient data and then utilizing applicable knowledge to solve complex patient problems. Combining artificial intelligence with human clinicians in the medical field facilitates doctors in developing…
the environment. Computers are becoming more integrated in classroom settings and the use of social media and other apps is skyrocketing, which is causing privacy issues. Drones are finding their way into our everyday lives just as other artificial intelligences such as smart homes and self-driving vehicles. The field of medicine is in over their heads with new technology just itching to become the way of the future. Many schools recently have made the decision to go one to one. This is…
Artificial Intelligence Teresa Gale Gaines CMGT556 December 15, 2014 Sutap Chatterjee Artificial Intelligence Artificial intelligence (AI) mimics human thought process and responses, such as the capability to reason and acquire information. AIs ultimate goal is to create an AI that can simulate human intellect. The development of AI and the varied approaches to giving machines the ability to make choices and reason like a human being are growing rapidly as technology grows. Categories of…
Information Systems in Business – Chapter 1 Apple Case and Class Discussion Buyer power is low because you have one choice to buy iPhone. As a company you want to take advantage of that. If you’re just buying a cell phone buyer power is high because you have many choices from iPhone to Android. (narrow market, high cost) Porter’s Five Forces Model 1. Buyer power- the power of customers to drive down prices (bargaining power of customers) 2. Supplier power- the power of suppliers to…
Artificial Intelligence in Banking: Applications 1. Enhanced Customer Insights using robo-advisors/Pattern Recognition Understanding your customer involves moving beyond common place demographics. Instead of looking at basic information such as age, gender or income, AI can give a deeper analysis of customers’ behaviours, patterns and financial history. This sort of customer insight combined with the speed of AI is in part what lead to an increase in robo-advisors. AI can really be leveraged to…
them to communicate and coordinate with each other and share information. Even agricultural equipment such as combine harvesters and many previously unintelligent devices can now be equipped with network capabilities as well as their own Artificial Intelligences (AI). These will all essentially work as mobile devices with very large data streams that need to be addressed in localized networks especially in rural and remote areas. Implementers of such systems will need to use and synchronize multiple…
COGNITIVE PSYCHOLOGY Several independent, co-occurring events around the early 1950's led to the decreased popularity of behaviorism and subsequent rise of cognitive psychology, especially information processing. 1st was dissatisfaction with and inability of behaviorism to explain higher cognitive functions. 2nd was the rise of technology which influenced several young sciences, especially communication engineering and verbal learning. 3rd was the young science of computer science--analogy between…