At Stanford and Google, Fei-Fei Li is leading the development of artificial intelligence—and working to diversify the field

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Mistaken extrapolations, limited imagination, and other common mistakes that distract us from thinking more productively about the future

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There are many ethical challenges presented by AI. Google’s machine learning division, DeepMind, has decided to try address some of the most contentious problems by establishing its own ethics and society team

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If developed and used sensitively, artificial intelligence systems could go a long way to mitigating these inequalities by removing human bias. A careless approach, however, could make the situation worse

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It’s nowhere close. It was an audacious undertaking, even for one of the most storied American companies: With a single machine, IBM would tackle humanity’s most vexing diseases and revolutionize medicine.

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Don’t kill humans. Reuters reports that autonomous-car software must be “programmed to avoid injury or death of people at all cost.” It overcomes any further questions about whether one life is more important than another by adding that vehicles must be blind to the age, gender, or physical condition of people involved in any accident

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But he may struggle to get his way without hard evidence of what, exactly, needs regulating

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Pain in the Machine

July 17, 2017

Pain leads to empathy and self-preservation: should we make robots ‘feel’ it?

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