Many Facial-Recognition Systems Are Biased, Says U.S. Study

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.
New York Times
By BY NATASHA SINGER AND CADE METZ from NYT Technology https://nyti.ms/2McloB7