World Forum: AI Should Automate ‘White-Collar’ Work

During a high-level session on the implications and repercussions of artificial intelligence at the World Economic Forum in Davos, Switzerland this week, the discussion took what some observers (those who aren’t economists) might consider an unexpected turn. A Carnegie-Mellon professor suggested white-collar tasks should be automated to the same degree that robotics automates blue-collar tasks such as manufacturing and inventory control. At one point, Andrew Moore, dean of CMU’s School of Computer Science, gave two attendees specific examples of what he explicitly described as white-collar jobs that could, and probably should, be automated for the benefit of humankind: lawyers and doctors. “The big thing that’s going on behind the scenes, but you don’t see it in front of the cameras so much, is the gradual work to remove the boring…


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