Federal Agency Reveals Bias in Facial Recognition Systems
By Debra Kaufman
January 2, 2020
January 2, 2020
The National Institute of Standards and Technology reported that most commercially available facial recognition systems — often used by police departments and federal agencies — are biased. The highest error rate involved Native American faces, but African-American and Asian faces were incorrectly identified 10 to 100 times more than Caucasian faces. The systems also had more difficulty identifying female faces and falsely identified older people up to 10 times more than middle-aged adults. Continue reading Federal Agency Reveals Bias in Facial Recognition Systems