Welcome to the rise of the algocracy.
Police in Orlando, Florida, are using a powerful new tool to identify and track folks in real time. Video streams from four cameras located at police headquarters, three in the city’s downtown area, and one outside of a recreation center will be processed through Amazon’s Rekognition technology, which has been developed through deep learning algorithms trained using millions of images to identify and sort faces. The tool is astoundingly cheap: Orlando Police spent only $30.99 to process 30,989 images, according to the American Civil Liberties Union (ACLU). For now the test involves only police officers who have volunteered for the trial.
But the company has big plans for the program. In a June meeting with Immigration and Customs Enforcement (ICE), Amazon Web Services pitched the tech as part of a system of mass surveillance that could identify and track unauthorized immigrants, their families, and their friends, according to records obtained by the Project on Government Oversight.
Once ICE develops the infrastructure for video surveillance and real-time biometric monitoring, other agencies, such as the FBI, the Drug Enforcement Administration, and local police, will no doubt argue that they should be able to access mass surveillance technologies too.
Amazon boasts the tool is already helping with everything from minimizing package theft to tracking down sex traffickers, and the company points to its terms of use, which prohibit illegal violations of privacy, to assuage fears.
This story is from the January 2019 edition of Reason magazine.
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This story is from the January 2019 edition of Reason magazine.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
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