Facial Recognition, the other side of what we own and what we don't own

Our Take

Truth Nation's latest lays out Randal's story plainly: a bad facial recognition match cost him thousands of dollars and put him through a legal nightmare for something he didn't do. Credit to the channel for sitting with the human cost of these systems instead of just talking specs and accuracy rates. This is what "the other side" of surveillance tech looks like when nobody's watching the watchers.

We cover ALPRs, not face recognition, but the pattern is identical. Both are black-box matching systems sold to police as infallible, deployed with zero public input, and defended by agencies that treat a false positive as a rounding error rather than someone's ruined week — or ruined finances, in Randal's case. Flock Safety's camera network runs on the same logic: trust the algorithm, skip the transparency, let the person flagged sort out the fallout on their own dime.

If a match can be wrong and still get you arrested or sued, the question isn't whether the tech works most of the time — it's who answers for it when it doesn't. Check our map to see if Flock cameras are already logging your plate, and hit take action if you want to push back before your city's next black-box mistake has your name on it.