Amazon’s facial-recognition tool misidentified 28 lawmakers as people arrested for a crime

Amazon.com’s facial recognition tools incorrectly identified 28 members of US Congress as people arrested for a crime during a test commissioned by the American Civil Liberties Union of Northern California.

The CBC said the software was particularly risky because “communities of color are more heavily and aggressively policed than white communities,” meaning mistakes caused by faulty facial-recognition software could prove especially harmful.

Source: Amazon’s facial-recognition tool misidentified 28 lawmakers as people arrested for a crime, study finds – The Washington Post

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