ACLU Report: US Police Using AI to Flag 'Suspicious' Driving Patterns for Traffic Stops
An ACLU report claims US police are leveraging AI and automated license plate reader data to stop drivers based on 'suspicious' travel histories without evidence of wrongdoing, warning this will sweep in more innocent people.
According to a report by Tom's Hardware, the American Civil Liberties Union (ACLU) published findings on October 26, 2026, alleging that US police are increasingly using artificial intelligence (AI) algorithms and automated license plate reader (ALPR) surveillance data to flag motorists whose travel histories appear "suspicious," even without evidence of wrongdoing.
Jay Stanley, a senior policy analyst with the ACLU Speech, Privacy, and Technology Project, explained that this practice relies on networks of ALPR cameras installed along roads and highways. These cameras photograph passing vehicles and record their registration numbers, locations, and timestamps. By combining sightings from different cameras, law enforcement can determine where a vehicle has traveled, which routes it used, and how frequently it visited particular locations. An AI system with access to this surveillance data can quickly analyze huge amounts of information and identify patterns it has been trained to deem as "suspicious," triggering an alert to law enforcement. Stanley implies officers may receive the alert and look for a minor traffic violation to justify pulling the driver over. In some documented cases, officers have concealed the actual reason for the stop.
The report details several incidents, including one in which a woman claims an officer stopped her during a cross-country road trip because a surveillance system he was using had flagged her movements as suspicious. The system had accessed ALPR data on where she had been driving.
This finding comes amid growing concerns about the impact of massive mass surveillance camera networks, involving issues such as privacy, abuse, and limited regulation. For instance, security researchers disclosed a network of over 335,000 Flock ALPR cameras across the United States. Companies such as Flock Safety have been developing AI-enhanced surveillance systems that can identify "unusual" travel behavior and associations between vehicles, marketing them as effective crime-prevention tools. However, while license plate readers have traditionally helped police track known suspects or locate vehicles already associated with a crime, the current scale and blanket surveillance are unprecedented.