Identified By AI Facial Recognition!? Do THIS! #police #lawyer
The short version: A lawyer's quick tips for handling false AI facial-recognition ID checks underscore why unaccountable algorithmic policing, like Flock's ALPR network, demands public scrutiny.
Our Take
Attorney Jason Killinger's 60-second clip isn't about license plate readers directly, but it lands on the same fault line we track every day: what happens when a private company's AI tells law enforcement or security you're someone you're not. His advice is basic and sound — stay calm, ask for verification through ID rather than accepting the algorithm's word, and write down every name, badge number, and detail. That last part matters more than people realize, because when the machine is wrong, the paper trail is often the only leverage you have left.
This is the exact scenario ALPR critics have been warning about for years. Flock Safety's cameras don't do facial recognition, but they run the same playbook: a private vendor's software makes a match, an officer or guard acts on it, and the person stopped is left arguing with a black box that nobody in the room can fully explain or audit. Whether it's a face or a plate, the burden of proving the system screwed up falls entirely on the misidentified person — not the company that sold the tech or the department that deployed it.
That imbalance is why documentation and public pressure matter so much. If you want to see whether this kind of automated surveillance has already rolled into your neighborhood, check our camera map, and if you're ready to push back on unaccountable AI policing where you live, our take-action page has concrete next steps.
This is DeFlock The USA’s original commentary. The video above is the work of Hampton Law, published on YouTube — full credit to the creator.