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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