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Friday, June 08, 2018

It will be About the Cobot

Not a new term: Cobot: Collaborative Robot. but fairly rarely used recently.  Does not have to mean a physical robot, but can also include collaborative AI systems tools.  Its how the architecture of collaboration is set up, how data and goals are shared.  How process is followed.  General AI is still far away, but many real domains will be influenced quickly.

Why human-AI collaboration will dominate the future of work  in Techrepublic
At the 2018 MIT Sloan CIO Summit, a panel of AI experts discussed how machine learning will impact the workforce.

We are in the midst of an "AI awakening," as artificial intelligence technologies can now match or surpass humans in fundamental skills like image recognition, Erik Brynjolfsson, director of the MIT Initiative on the Digital Economy, said in a panel discussion session at the 2018 MIT Sloan CIO Symposium.

Artificial General Intelligence (AGI)—the point when machines will be able to perform all intellectual tasks that humans can—is still a long way off, Brynjolfsson said. But machine learning has reached superhuman capabilities in certain areas, and can offer enterprises a number of benefits.

In two papers recently published in Science and the American Economics Association, Brynjolfsson and colleagues developed a rubric of 23 questions to identify tasks that AI is now adept at, and applied those to the O*NET database of 964 occupations in the US.

Most jobs involve 20 to 30 distinct tasks, the research found. In most cases, machine learning could perform some tasks better than humans in a given occupation. However, it could never perform all tasks needed for the job better than its human counterpart. ... 

"Most jobs will be partly affected by machine learning, but there will also be things humans need to do," Brynjolfsson said in the session. Instead, the future will likely involve partnerships between humans and machines (known as collaborative robots, or co-bots) to more efficiently get work done. "Rarely will we completely wipe out entire job categories," he added.

Only 5% of workers will be displaced by AI, said panel participant Elisabeth Reynolds, executive director of MIT's Work of the Future Task Force, citing McKinsey research.

"The introduction of the co-bot is allowing us to replace routine work and allow workers to do something else," Reynolds said. "You do have to deal with displacement, but it is a small percentage of the growth we see." This echoes Gartner research, which predicted that AI will eliminate 1.8 million jobs by 2020, but will create 2.3 million in that same timeframe.  .... "

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