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Fighting algorithmic bias and homogenous thinking in A.I.

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May 1 2017

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In the News, Students

When Timnit Gebru attended a prestigious AI research conference last year, she counted 6 black people in the audience out of an estimated 8,500. And only one black woman: herself.

As a PhD candidate at Stanford University who has published a number of notable papers in the field of artificial intelligence, Gebru finds the lack of diversity in the industry to be “extremely alarming” and effectively an “international emergency.” “People openly acknowledge that diversity is a priority,” she explains, “but they don’t treat the issue as urgent and actively address it.”