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Cities Reject Flock Safety Surveillance After Privacy Backlash

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Bend, Oregon became the first major city to sever ties with Flock Safety surveillance cameras in early 2026, following intense public outcry over data privacy concerns. This decision, driven by residents worried about weak protections, marked the beginning of a trend where dozens of cities have since suspended or deactivated Flock contracts, labeling it a vast surveillance network. Flock's controversial AI-powered license plate cameras, often installed without explicit public knowledge, have drawn scrutiny for their role in aiding Immigration and Customs Enforcement (ICE) operations, with reports indicating eight Washington law enforcement agencies shared Flock data directly with ICE in 2025. The company's expansion into drones, part of its 'Drone as First Responder' program, amplifies concerns, allowing cameras to track vehicles and people at high speeds.

Flock's technology extends beyond simple license plate capture. While the company claims its standard cameras cannot track vehicles, its AI analysis allows law enforcement to piece together timelines of vehicle movements using search tools similar to Google. Flock's system can also identify vehicle details like color, body type, and license plate condition, and its spokesperson confirmed the company does not use facial recognition. However, Flock's 'Freeform' investigative tool permits natural language searches for people based on descriptions, raising further privacy questions. The installation often occurs under different names, like ALPR cameras or the Drone program, masking Flock's involvement.

The backlash highlights a critical tension: while Flock markets its system for crime reduction, including violent crimes, the lack of warrant requirements for drone deployment and the sharing of data with agencies like ICE without explicit permission have fueled the movement to reject the technology. Cities are now actively choosing privacy over surveillance, signaling a potential shift in how communities approach automated monitoring.