Is the field of Artificial Intelligence a threat to jobs?
Artificial intelligence has its own potential to help people and address some of the biggest challenges that people faces. we as humans use technology to make our lives easier. Now days, Smart vehicles introduce to the world that smart car has advantages and disadvantages. Machine that understand the world and respond productively suddenly seem imminent. Many jobs have been replaced by artificial intelligence for example sales people, automobile factory workers and car drives and so on. Government may serve citizens more quickly and precisely, more protect those at risk, and save time and money. AI increase education may help teachers give every child an education that secure and fulfilling life. These are just a few of the potential merit if the technology is developed with an eye to its benefits and with careful consideration of its risks and challenges.
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According to GAO (2017) “regtech” p.9, that is linking regulations with technology one participants said that policymakers should consider allowing financial regulators to explore alternative regulatory approaches and reporting mechanisms, leveraging technology to improve and reduce the risk of regulation. The author to explain the future of AI, there are concerns that clever machines capable of undertaking tasks done by humans until now will swiftly destroy millions of jobs. Artificial intelligent is replaced human jobs because AI far stronger, faster than our natural born intelligence. In general, mature software and engineering fields have greater success in creating systems that are predictable, reliable, robust, safe, and secure. Continuing the progress toward AI becoming a mature software and engineering field will be one of the key enablers of safety and controllability as more complex systems are built. Examples, A long time ago, automobile factory workers said,” There’s no way a robot can do my job.” I must put each bolt in this transmission, and make sure the tires are on and the wheels are checked. I saw in the future that so many auto workers out of market. Only who stayed behind learned to work the AI and then the rest of the mid-level and low level went in a mass departure of producers.
If we imagine that every person currently employed “outsources” their labor to a robot they themselves bought, yet remain “employed”, then they can go on vacation and get free money while the robot works for the employer and everyone wins. The math tells us it’s possible for every single human being to benefit from automation rather than just the elite few. The question is if we’re ready for those types of policies. The author discuss about AI is not create because, good news anytime one opportunity closes, another one opens. When factories closed, the gas boom picked up. Droves of people left and became landmen. The opportunity for the future of salesperson is learning automation, the tech side AI so that you can work with a robot. But as one sector of the industry grinds to a brings another door will always open. So never give up opening another opportunity and keep your eyes out for the next biggest innovation. Especially, salesperson and car drive I hate to say that if you don’t focus on learning the technology and embracing it, then you will be replaced by it. Artificial intelligence today is properly known as weak AI or narrow AI, in that it is designed to perform a narrow task. However, the long-term goal of many researchers is to create general AI. While narrow AI may outperform humans at whatever its specific task is, like playing chess or solving equations, AGI would outperform humans at nearly every cognitive task. intelligent machines are replacing jobs at an alarming rate. And the smarter they get, the faster they are going to be replacing us. What I am talking about here is not a subtle shift to more automation but a real threat to society and humans. Self-driving cars and robot waiters to robotic doctors and robot journalists, what seem like novelties today will soon be common place. 
My assumption in the short term, there are concerns that clever machines capable of undertaking tasks done by humans until now will swiftly destroy millions of jobs. Artificial intelligent is replaced human jobs because AI far stronger, faster than our natural born intelligence. In general, mature software and engineering fields have greater success in creating systems that are predictable, reliable, robust, safe, and secure. Continuing the progress toward AI becoming a mature software and engineering field will be one of the key enablers of safety and controllability as more complex systems are built. Examples, A long time ago, automobile factory workers said,” There’s no way a robot can do my job.” I must put each bolt in this transmission, and make sure the tires are on and the wheels are checked. I saw in the future that so many auto workers out of market. Only who stayed behind learned to work the AI and then the rest of the mid-level and low level went in a mass departure of producers. 
In an article try to explain this giant company is installing a lot of robots each year to perform tasks then tasks that used to be performed by a human worker. One participant, says, “We have over one million workers. In the future we will add one million robotic workers.” And those one million robots will displace at least one million human workers. What’s more, as the price of robots comes down each year, it will soon make sense to replace workers even in the lowest cost economies around the world. As AI substitutes for human roles, some jobs will be eliminated, and new jobs will be created. The net effect on jobs is ambiguous, but labor markets are unlikely to benefit everyone evenly. The demand for some types of skills or abilities will likely drop significantly, negatively affecting the employment levels and wages of people with those skills. While the ultimate effects on income levels and distribution are not inevitable, they depend substantially on government policies, on the way companies choose to organize work, and on decisions by individuals to invest in learning new skills and seeking new types of work and income opportunities. People who find them employment altered or terminated because of advances of AI may seek recourse in the legislature and courts. According to the author Petropoulos (2017), productivity and displacement are the two labor markets. To answer the consequence of (AI) on the two labor markets, the author took three approaches. The first approach evaluates the impact of technology on traditional labor forces. According to the author Petropoulos (2017), the researches has been done by comparing the emerging of auto industry and replacement of horse transportation during industrial revolutions. In this approach, the author stated the positive side of AI by saying that replacement of horse with automobile industry brought a positive impact to the job market It is true amazon is bringing a lot of jobs to the cities, but are the people ready and capable of doing the machine jobs? The answer would be no. Even though the economist reports that the industrial revolution estimate in the short run, the displacement effect may dominate and in the long run, the productivity will increase, and positive impact will be seen on the employment, the report from McKinsey Global Institute concluded that the industrial revolution disrupted societies way of life (page.121). They also added that using human brain as a model for AI is a disaster for human. If a machine trained to work and designed to work as a human, the goal would be to replace a human. That will impact an employment. For example, we can see how drone technologies are emerging. Are they efficient? yes but that is not the question here. They question is are they taking jobs from everyday people who just want work or capable of working 9-5 Hours and enjoy their lives as it is? The answer would be yes. The drone technologies are replacing post office, FedEx or other driver’s jobs. This is another downfall of technologies.
The second approach the author took to argue how AI impact an employment is that to document the next 10 years of automation risks on human workers or on occupation that is previously handled by people. According to Frey and Osborne, 47% of US occupations were in danger of automated. And they also stated that the automation is going to affect the EU as well (page.124).
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My counter arguments many automation industries, where a machine substitutes for human work, in some case a robot will brings to perfection human work. This may happen as a side effect of artificial intelligence of developed specifically with the goal of creating a human robot team. My assumption is not true because of AI create by itself another job opportunity so humans must readily for new technology. In the future people you have change to new technology. of course, learning new skills doesn’t need necessarily mean going back to school for a degree. I noted that AI technologies are already impacting a wide array of economic sectors. Our technology assessment also provides an overview of developments in the field of AI, focusing on the challenges, opportunities, and implications of these developments for policy making and research, and further helps clarify the prospects for the future of AI and identifies areas where changes in policy and research may be needed. summarizes selected questions, benefits, and challenges regarding the use of AI in four high-consequence sectors. Participants also stressed that there may be benefits related to AI that cannot yet be predicted or may even be hard to imagine (Petropoulos, 2017).
Overall, I think that AI the repetitive functions of our society is a good, or at least not an inherently bad thing, but the transition includes risks that we have to consider. In the future we’ll see corporations and other legal entities that have impact on human lives but don’t have human beings at the helm, instead relying on evolving algorithms to make their decisions, faster and more reliably than human are able. People will be inclined to obey these entities because of positive incentives and because it will get difficult to tell which decisions come from human investors and which from their AI tools; just because there technically still is a company on the payroll doesn’t guarantee that he isn’t just a rubber stamp for some investment algorithm. The problem is that when you put a million of such algorithms together in a real-world sandbox, the outcome will be next to impossible to predict, the responsibility hard to determine and the potential human cost astronomical. And let’s not even get into the ethics of, say, intelligence agencies effectively run by semi-intelligent computers.
- Etzioni, A. & Etzioni, O. (2017). Should artificial intelligence be regulated? Issues in Science & Technology, 33(4), 32-26. Retrieved from http://www.issues.org
- Kak, S. (2018, February 7). Will robots take your job? Humans ignore the coming AI revolution at their peril. NBC News. Retrieved from https://www.nbcnews.com/think/opinion/will-robots-take-your-job-humans-ignore-coming-ai-revolution-ncna845366
- Parnas, D.L. (2017). The real risks of artificial intelligence. Communications of the Association for Computing Machinery, 60(10), 27-31. doi:10.1145/3132724
- Persons, T.M. (2018). Artificial intelligence: Emerging opportunities, challenges, and implications for policy and research (GAO Publication No. GAO-18-644T). Washington, DC: U.S. Government Accountability Office. Retrieved from https://www.gao.gov/products/GAO-18-644T
- Petropoulos, G. (2018). The impact of artificial intelligence on employment. Retrieved from http://bruegel.org/2018/07/the-impact-of-artificial-intelligence-on-employment/
- 6. https://www.weforum.org/agenda/2014/12/is-artificial-intelligence-the-biggest-threat-to-jobs/
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