“Assembly member Phil Ting was one of the individuals incorrectly identified as a criminal by the software. He is also a lawmaker who has been calling for the limiting of facial recognition technology for some time, introducing a bill in February which would ban the use of facial recognition and biometric surveillance system on police-worn body cameras.”
According to a test by the ACLU, Amazon’s facial recognition system incorrectly identified one in five California lawmakers were incorrectly identified as criminals by the software.
Vice News reports that Amazon’s facial recognition software, Rekognition, incorrectly identified 26 California lawmakers as people arrested for crimes during a test of the software by the ACLU of Northern California. The software was used by the ACLU to scan 120 photos of lawmakers against a database of 25,000 photos of individuals who were arrested, according to ACLU lawyer Matt Cagle.
The test found that one in five California lawmakers were falsely associated with mugshots from the arrest database, exposing the issues with implementing facial recognition technology in law enforcement services. The Rekognition software reportedly matched the lawmakers to mugshot photos with a confidence rate of 80 percent.
Assembly member Phil Ting was one of the individuals incorrectly identified as a criminal…
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