Emotion-reading facial recognition displays racial bias
A study published in January 2019 found that a form of facial recognition technology that interprets emotions in facial expressions assigns more negative emotions to black men's faces than white men's faces. The problem is the latest in a series of ways that facial recognition has failed for non-white subjects. The study used the official photographs of 400 professional NBA basketball players and found two types of bias: black faces were consistently scored as angrier than white faces for every smile; black faces were also consistently scored as angrier where the facial expressions were at all ambiguous.
Writer: Lauren Rhue
Publication: The Conversation
Publication date: 2019-01-03