Many Facial-Recognition Systems Are Biased, Says U.S. Study by 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 19, 2019 at 11:04PM

from NYT Technology https://ift.tt/2sPfq23