Amazon’s Facial Recognition Falsely Matched 28 Members of Congress With Mugshots

Posted on Tuesday, 13th August 2019 @ 04:23 PM by Text Size A | A | A

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California Assemblyman Phil Ting has never been arrested, but he was recently mistaken for a criminal.

He’s not surprised.

Ting (D-San Francisco), who authored a bill to ban facial recognition software from being used on police body cameras, was one of 26 California legislators who was incorrectly matched with a mug shot in a recent test of a common face-scanning program by the American Civil Liberties Union.

About 1 in 5 legislators was erroneously matched to a person who had been arrested when the ACLU used the software to screen their pictures against a database of 25,000 publicly available booking photos. Last year, in a similar experiment done with photos of members of Congress, the software erroneously matched 28 federal legislators with mug shots.

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