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Facial recognition fails on race, government study says | BBC News

Facial recognition fails on race, government study says | BBC News

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A US government study suggests facial recognition algorithms are far less accurate at identifying African-American and Asian faces compared to Caucasian faces.

African-American females were even more likely to be misidentified, it indicated.

It throws fresh doubt on whether such technology should be used by law enforcement agencies.

One critic called the results “shocking”.

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The National Institute of Standards and Technology (Nist) tested 189 algorithms from 99 developers, including Intel, Microsoft, Toshiba, and Chinese firms Tencent and DiDi Chuxing.

One-to-one matching
Amazon – which sells its facial recognition product Rekognition to US police forces – did not submit one for review.


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