Industrial Revolution - The Prospect of Our Society - Business Assignment Help

Assignment Task:

Source A

A major report from Stanford University co-authored by more than 20 leaders in the fields of AI, computer science, and robotics……predicts that automated trucks, flying vehicles, and personal robots will be commonplace by 2030, but it cautions that remaining technical obstacles will limit them to certain niches. It also warns that the social and ethical implications of advances in AI, such as the potential for unemployment in certain areas and likely erosions of privacy driven by new forms of surveillance, will need to be open to discussion and debate. The study, part of a project intended to last 100 years, is something of a rebuttal to some of the alarmist pronouncements that have been made about AI.

 “No machines with self-sustaining long-term goals and intent have been developed, nor are they likely to be developed in the near future,” the report says. “I really see this as a coming-of-age moment for the field,” says Oren Etzioni, CEO of the Allen Institute for Artificial Intelligence, an independent research institute in Seattle, who is a coauthor of the report. “The extreme positive hype is wrong, and the fear-mongering is not based on any data.” The report identifies the most promising areas for future AI research, and  Etzioni says key among these is research on ways for humans and AI systems to collaborate effectively. Stanford’s One Hundred Year Study on Artificial Intelligence will report findings every five years. The first report focuses on areas in which AI will have a significant impact including transportation, health care, education, and employment.

Source B

Every industrial revolution is as much about the displacement and adjustment of the workforce as it is about its replacement, and this newest cycle is no exception. But the propagation of artificial intelligence will also provide new opportunities to put human creativity and innovation to effective use.

 “What we do know is that artificial intelligence will be most effective in the short term for jobs which can be broken down into a series of routines, whether that be manual labor or cognitive tasks,” says Joe Lobo, botmaster at artificial intelligence firm Inbenta. “This means humans will be able to concentrate on the more creative and consequently more enjoyable tasks.”

“Technology has never been a net destroyer of jobs,” says Stuart Frankel, CEO of Narrative Science. “Look at almost every technology job that exists in any enterprise today. None of those jobs existed twenty years ago, and most of them probably didn’t even exist ten years ago.”

For the moment, anyway, rather than being a total takeover of human jobs by robots, the problem is that there are a lot of vacant job posts and not enough skilled people to fill them. With the rise of data-driven business, the demand for tech talent is increasing across the board.

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