Racial bias found in facial recognition tools, US study shows
When conducting a ‘one-to-one’ matching search, many facial recognition algorithms falsely identify black and Asian faces 10 to 100 times more than Caucasian faces
20 December 2019 - 11:44
Many facial recognition systems misidentify people of colour more often than white people, according to a US government study released on Thursday that is likely to increase scepticism of technology widely used by law enforcement agencies.
The study by the National Institute of Standards and Technology (NIST) found that, when conducting a particular type of database search known as “one-to-one” matching, many facial recognition algorithms falsely identified black and Asian faces 10 to 100 times more than Caucasian faces...
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