Face Recognition Technology Follows a Long Analog History of Surveillance and Control Based on Identifying Physical Features
Key Excerpts from Article on Website of ScheerPost
Posted: January 29th, 2024
American Amara Majeed was accused of terrorism by the Sri Lankan police in 2019. Robert Williams was arrested outside his house in Detroit and detained in jail for 18 hours for allegedly stealing watches in 2020. Randal Reid spent six days in jail in 2022 for supposedly using stolen credit cards in a state he’d never even visited. In all three cases, the authorities had the wrong people. In all three, it was face recognition technology that told them they were right. Law enforcement officers in many U.S. states are not required to reveal that they used face recognition technology to identify suspects. Surveillance is predicated on the idea that people need to be tracked and their movements limited and controlled in a trade-off between privacy and security. The assumption that less privacy leads to more security is built in. That may be the case for some, but not for the people disproportionately targeted by face recognition technology. As of 2019, face recognition technology misidentified Black and Asian people at up to 100 times the rate of white people. In 2018 ... 28 members of the U.S. Congress ... were falsely matched with mug shots on file using Amazon’s Rekognition tool. Much early research into face recognition software was funded by the CIA for the purposes of border surveillance. More recently, private companies have adopted data harvesting techniques, including face recognition, as part of a long practice of leveraging personal data for profit.