What Science Really Says About Facial Recognition Accuracy and Bias Concerns
Security Industry Association
JULY 23, 2021
By far, the source most cited by media and policymakers as evidence of bias in facial recognition is Gender Shades , a paper published by a grad student researcher at MIT Media Lab in 2018. But there’s a problem: Gender Shades evaluated demographic-labeling algorithms not facial recognition. ACLU’s Intentionally Skewed 2018 Test.
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