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Idemia software checks the faces of some cruise ship passengers landing in the US against Customs and Border Protection records. The NIST test challenged algorithms to verify that two photos showed the same face, similar to how a border agent would check passports. A one in 10, false match rate is often used to evaluate facial recognition systems.
But to Amazon's facial recognition system, he looks like a potential criminal. Gomez was one of 28 US Congress members falsely matched with mugshots of people who've been arrested, as part of a test the American Civil Liberties Union ran last year of the Amazon Rekognition program. Nearly 40 percent of the false matches by Amazon's tool, which is being used by police, involved people of color. This is part of a CNET special report exploring the benefits and pitfalls of facial recognition. The findings reinforce a growing concern among civil liberties groups, lawmakers and even some tech firms that facial recognition could harm minorities as the technology becomes more mainstream.