New Records Reveal Extent of Police Use of Clearview AI Facial Recognition
Newly obtained records show that approximately 200 police agencies use Clearview AI, a facial recognition tool built from billions of publicly scraped internet photos. The technology raises serious civil liberties concerns as its development outpaces legal regulation.
Newly released records reveal that Clearview AI builds its massive facial recognition database by scraping billions of publicly available images from social media, news articles, and mugshot sites. This enormous inventory of over three billion faces is many times larger than comparable systems, making it highly likely that everyday Americans appear in the database without their knowledge or consent. Civil liberties groups warn that this technology disproportionately impacts communities of color due to racial biases embedded in the algorithm's training data.
Public records requests from organizations like MuckRock and Open The Government show that approximately 200 police agencies across the country actively use this controversial software. Law enforcement officers simply upload an unknown face, and the system analyzes specific facial measurements to find a match within this vast network of open-source images. The released documents from cities like Atlanta, Gainesville, and Clifton provide the first concrete look at how extensively local police rely on this private vendor to identify suspects.
The rapid advancement of commercial facial recognition technology significantly outpaces the ability of lawmakers to establish basic privacy protections or consumer guardrails. As a result, police departments currently possess the unchecked ability to track individuals' movements and indefinitely store online photos in commercial databases. This growing surveillance capability places the technology directly at the forefront of the ongoing tension between promoting public safety and upholding constitutional rights.