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Facial recognition fails on race, government study says

Topic
Biometrics Surveillance Civil liberties Policing
Country/Region
USA

06 January 2020

An analysis of 189 different facial recognition algorithms by the US National Institute of Standards and Technology (NIST) has discovered some major flaws.

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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."

See: Facial recognition fails on race, government study says (BBC News, link):

The full study is available here: NIST Study Evaluates Effects of Race, Age, Sex on Face Recognition Software (NIST, link)

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