Spurred by Bias, Companies Are Trying to Break Open the Black Box of AI Algorithms

High-profile examples propel explainable machine learning

Activists at the American Civil Liberties Union recently used Amazon’s facial recognition software to compare photos of 200 Boston-area professional athletes to a mug shot database. The program determined that 27 of the players—roughly one in six—were among the 25,000 criminals in its system.

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This story first appeared in the Nov. 18, 2019, issue of Adweek magazine. Click here to subscribe.