aiqbench takeMachine Learning

Flock's new AI search tool allows officers to automate surveillance across city camera networks using written descriptions, but independent analysis reveals the system cannot reliably filter sensitive categories like political expression or race. While Flock claims to have added auditing and retention limits, experts warn that the underlying model operates as a "black box" where inaccuracies are shifted onto individual officers rather than being corrected by the technology itself. This creates a significant liability gap for police departments relying on an algorithm that courts consider highly protected yet remains unmeasurable in its error rates.

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This Is Flock’s AI Search Tool for Cops

WiredSeptember 3, 20268 min read

WIRED rebuilt Flock’s latest search tool from code the company sends to a police officer’s browser. Its AI can keep watch across multiple cameras for anyone fitting a written description.

Flock Safety’s latest search tools give police several ways to find people on camera, not just the license plates on their cars. The capabilities sit inside a suite of software now at the center of dozens of police stalking cases. WIRED collected and analyzed that software and created a mock-up of what officers see when interacting with the system. Among the tools is an AI-powered watch list. An officer can cordon off an area of a city and make the cameras inside it run a continuous, automated search for anyone fitting a written description. Over the past year, Flock has faced backlash against its technology. Police departments across the country have canceled contracts, and city councils that once approved Flock have quietly voted the cameras back out. Two members of Congress wrote to Flock CEO Garrett Langley after a Texas deputy searched more than 83,000 cameras for a woman who had an abortion. And Illinois found the company had…

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