Many Facial-Recognition Systems Are Biased, Says U.S. Study by NATASHA SINGER and CADE METZ


By NATASHA SINGER and CADE METZ

Algorithms falsely identified African-American and Asian faces 10 to 100 times more than Caucasian faces, researchers for the National Institute of Standards and Technology found.

Published: December 18, 2019 at 06:00PM

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