Proof AOC Was RIGHT About Facial Recognition Software
The short version: The Damage Report revisits the 2020 Detroit false arrest to show how faulty facial recognition ensnares innocent people — a warning that applies just as much to today's ALPR dragnets.
Our Take
John Iadarola and Adrienne Lawrence, hosts of The Damage Report (a TYT show), dig back into the Robert Williams case out of Detroit — a Black man arrested in front of his family because a facial recognition algorithm matched him to grainy shoplifting footage it shouldn't have. It's old news by internet standards, but the point still lands: these tools get deployed with cop-certainty despite research showing they misidentify Black and brown faces at dramatically higher rates. AOC flagged this years ago and got mocked for it. She was right.
We'd push the conversation one step further. Facial recognition doesn't operate in a vacuum — it's one piece of a growing automated identification stack that includes license plate readers like the ones Flock Safety sells to thousands of police departments and HOAs. Different tech, same core problem: a machine makes a match, a human treats that match as ground truth, and due process becomes an afterthought. Flock's own marketing leans on the promise of near-instant 'hits,' but hits based on bad data, poor camera angles, or partial plate reads can trigger the same kind of wrongful stop or arrest that Williams suffered, just with less public scrutiny because plates don't carry the same obvious bias narrative that faces do.
That's exactly why transparency matters. If you want to know whether this kind of surveillance infrastructure is already watching your neighborhood, check our camera map, and if you want to push back on it locally, our take-action page has the tools to start that fight.
This is DeFlock The USA’s original commentary. The video above is the work of The Damage Report, published on YouTube — full credit to the creator.