Facial Recognition: Police's Lazy Shortcut? 🤖

Our Take

Credit to Brian McGauley for digging into the Angela Lipps case, because this is exactly the pattern civil liberties advocates have been warning about for years. Facial recognition gets sold to departments as a time-saving tool, but in practice it too often becomes the whole investigation: a machine spits out a name, an officer treats it as probable cause, and nobody bothers to check the math before slapping on cuffs. When the system is wrong, the human beings who are supposed to be the check on it just rubber-stamp the error instead.

This isn't an isolated glitch — it's the logical endpoint of building policing around automated identification systems that were never validated for the way they're actually used. Flock Safety's ALPR network runs on the same basic premise: trust the algorithm, skip the legwork, and hope the data holds up in court. We've seen how that plays out with license plates flagged as 'stolen' or 'suspicious' based on stale or bad data, sparking felony stops on innocent drivers. Facial recognition and mass plate scanning are different technologies solving for the same lazy shortcut, and the wrongful arrests keep piling up as proof that 'the computer said so' isn't good enough.

If you want to see how much of this automated surveillance infrastructure has already been installed near you, check our camera map. And if you think your city council should be asking harder questions before approving the next contract, our take-action page has tools to help you push back.