Why #Police Using AI is DANGEROUS! #lawyer

Our Take

Credit to Hampton Law for laying out the Travis Williams case in plain terms: a facial recognition match became the entire basis for an arrest, no real detective work required. That's the pattern we keep seeing with automated policing tools — an algorithm spits out a name, and instead of treating it as one lead among many, it becomes probable cause. The human judgment that's supposed to catch false positives quietly disappears from the process.

Flock Safety's ALPR cameras run on the same logic. A camera reads a plate, flags it as "suspicious" or matches it to a hotlist, and an officer acts on that alert with the same misplaced confidence that got Williams arrested. The tech doesn't need to be wrong often to ruin someone's life — it just needs to be wrong once, at the wrong time, with a cop who trusts the machine more than he questions it. That's not hypothetical; it's the whole business model of mass automated surveillance, plate readers included.

Cases like this are exactly why transparency about where these systems operate and how they're used matters. Check our camera map to see if Flock is watching your neighborhood, and if you want to push back on unaccountable AI policing in your town, our take-action page has concrete next steps.