AI facial analysis demonstrates both racial and gender bias
Researchers from MI T and Stanford University found that that three different facial analysis programs demonstrate both gender and skin color biases. The full article will be presented at the Conference on Fairness, Accountability, and Transparency later this month. Specifically, the team looked at the accuracy rates of facial recognition as broken down by gender and race. "Researchers at a major U.S. technology company claimed an accuracy rate of more than 97 percent for a face-recognition system they'd designed. But the data set used to assess its performance was more than 77 percent male and more than 83 percent white." This narrow test base results in a higher error rate for anyone who isn't white or male. In order to test these systems, MIT researcher Joy Buolamwini collected over 1,200 images that contained a greater proportion of women and people of color and coded skin color based on the Fitzpatrick scale of skin tones, in consultation with a dermatologic...