Making face recognition less biased doesn't make it less scary (Technology Review)

Making face recognition less biased doesn't make it less scary Three new papers released in the past week are now bringing much-needed attention to this issue. Last Thursday, Buolamwini released an update to Gender Shades by retesting the systems she'd previously examined and expanding her review to include Amazon's Rekognition and a new system from a small AI company called Kairos. There is some good news. She found that IBM, Face, and Microsoft all improved their gender classification accuracy for darker-skinned women, with Microsoft reducing its error rate to below 2%. On the other hand, Amazon's and Kairos's platforms still had accuracy gaps of 31 and 23 percentage points, respectively, between lighter males and darker females.