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Federal study shows face recognition accuracy varies by gender and race
Researchers have studied the potential for bias in facial recognition algorithms before, but now it's the US government's turn to weigh in. The National Institute of Standards and Technology has published a study indicating "demographic differentials" in the majority of the facial recognition algorithms it tested. The report, which examined both one-to-one matching (such as verifying a passport photo) and one-to-many matching (looking for criminals in a crowd), saw noticeable surges in false positives based on gender, age and racial background -- but cautioned against this representing definitive proof of systemic bias.
