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