Facial recognition technology compares facial images against databases to identify individuals. Federal agencies, state and local police, and private actors use it for purposes ranging from criminal investigations and border control to building access and consumer payments. Vendor systems vary widely in accuracy, with documented disparities in error rates across demographic groups, particularly for women and people of color.
Several cities — including San Francisco, Boston, and Portland — have banned government use of facial recognition outright. Other jurisdictions have imposed warrant requirements, audit and transparency mandates, or restrictions on real-time surveillance. The federal government uses facial recognition through CBP, the FBI, and other agencies. Wrongful arrests based on facial-recognition matches have been documented.
Debates center on accuracy and demographic bias, the threshold for law-enforcement use (warrant, lead-generation only, banned), real-time versus retrospective use, transparency requirements, and whether some uses are simply incompatible with civil liberties.