Civil liberties report warns police are using AI vehicle data to stop innocent drivers

Law enforcement agencies are increasingly deploying automated license plate readers alongside artificial intelligence to initiate traffic stops based solely on travel patterns, according to an October 26 report from the American Civil Liberties Union. The roadside surveillance systems, deployed across thousands of communities by providers like Flock Safety, capture timestamps, plate numbers, and location data to map where drivers travel. Jay Stanley, an ACLU senior policy analyst, cautioned that relying on algorithms to identify suspicious routes will inevitably subject innocent travelers to pretextual police encounters without any underlying evidence of a crime. [1][2][3]

Rather than merely searching for stolen vehicles, newer tools analyze broader behavioral trends, tracking vehicles that travel together or move along perceived trafficking routes. In a September 2025 incident cited by the ACLU, an FBI agent stopped Virginia motorist Grace Knowles en route to Florida, questioning her itinerary after an automated system flagged her movements. While vendors promote the platforms to disrupt illicit trafficking, errors and data gaps persist. Drivers also cannot easily opt out, as roadside cameras log plates automatically into databases that officers can often query without obtaining a warrant. [1][2][3]

The expanding surveillance footprint has drawn mounting pushback in federal court and state legislatures. A federal jury in Texas awarded driver Alek Schott $76 on September 28—one dollar for each minute detained—after finding Bexar County deputies infringed on his rights during a 2022 stop triggered by a surveillance alert. Additionally, an Oklahoma judge deemed an automated plate-reader stop unconstitutional indiscriminate mass surveillance earlier this year, prompting a Florida lawmaker to introduce legislation that would mandate warrants to search reader records. [1][2]