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In a new book, a sociologist who spent months embedded with the LAPD details how data-driven policing techwashes bias.
The killing of George Floyd last May sparked renewed scrutiny of data-driven policing. As protests raged around the world, 1,400 researchers signed an open letter calling on their colleagues to stop collaborating with police on algorithms, and cities like Santa Cruz, New Orleans, and Oakland variously banned predictive policing, facial recognition, and voice recognition. (...)