Slow thinking and machine learning in medicine image, November 9, 2018
Drea Burbank, Ayo Roberts, and Chandi Broadbent, quoting I. Glenn Cohen (Faculty Director)


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From the article: 

Recently, several high-profile institutions have called attention to the issue of inclusion and equity when artificial intelligence (AI) algorithms are applied in medicine. Leaders from the law, medicine, social sciences and computer sciences are speaking out about the challenges of using smart algorithms to solve social problems.

While this topic might easily be dismissed as anti-progress by the tech community, it should be reexamined as a genuine offer to partner leading human slow-thinkers with intuitive fast-thinking machines. Collaboration can improve the impact of AI on society.

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ai i. glenn cohen