Committee flags privacy risks from networked ALPR/AI systems while weighing business benefits
Committee members acknowledged that networked cameras can help businesses with theft prevention but warned that AI-driven correlation across cameras creates privacy and oversight risks; a resident urged disconnecting private cameras from vendor networks while allowing local data collection to remain internal.
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Committee members debated the balance between business safety and privacy as they examined Flock and similar automated license-plate reader (ALPR) systems. One committee member described the cameras as a major asset for retail theft deterrence and investigations, while others worried the technologys networked AI capabilities enable cross-camera correlation and pattern-matching that could enable intrusive tracking. "The wider system is the problem," Andrew Moore told the committee. "Is the ability to correlate all the cameras, track all the movement, put it all together, and run it through an AI and pull things out of it."
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