Human AI Collaboration and the Nature of Work

 Via MIT Sloan.  Note the decomposition of jobs into tasks in context, which we also examined.

Why human-AI collaboration will dominate the future of work

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. .... "