https://www.vice.com/en_us/article/ne8wa8/amazons-facial-recognition-misidentified-1-in-5-california-lawmakers-as-criminals

In a recent test of Amazon's facial recognition software, the American Civil Liberties Union of Northern California revealed that it mistook 26 California lawmakers as people arrested for crimes.

The ACLU used Rekognition, Amazon’s facial recognition software, to evaluate 120 photos of lawmakers against a database of 25,000 arrest photos, ACLU attorney Matt Cagle said at a press conference on Tuesday. One in five lawmaker photographs were falsely matched to mugshots, exposing the frailties of an emerging technology widely adopted by law enforcement. The ACLU used the default Rekognition settings, which match identity at 80 percent confidence, Cagle said.