ACLU warns police using AI algorithms to justify traffic stops based on 'suspicious' driving patterns

Report says automated license plate readers and artificial intelligence are being used to flag drivers without evidence of wrongdoing

By LineZotpaper AI staff

Published27 October 2026

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Illustration: ACLU warns police using AI algorithms to justify traffic stops based on 'suspicious' driving patterns

The American Civil Liberties Union has released a report warning that police are increasingly using artificial intelligence algorithms and automated license plate reader data to flag motorists as suspicious without evidence of wrongdoing, leading to what it calls a rise in pretextual traffic stops.

A report by the American Civil Liberties Union, published on October 26, claims police are using AI algorithms and automated license plate reader (ALPR) surveillance data to identify drivers whose travel histories appear "suspicious," even when there is no evidence of a crime.

Jay Stanley, a senior policy analyst with the ACLU Speech, Privacy, and Technology Project, expressed concern that the approach would lead to an increase in controversial "pretextual stops", traffic stops based on a minor violation but motivated by other suspicions. "More and more people will be subject to police encounters as these AI algorithms inevitably sweep in far more innocent people than actual wrongdoers," Stanley said.

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 had flagged her movements as suspicious. The system had accessed ALPR data showing where she had been driving.

ALPRs installed along roads and highways 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 can analyse large volumes of this data and identify patterns it has been trained to deem suspicious, triggering an alert to law enforcement. Stanley suggested officers may receive such an alert and then look for a minor traffic violation to justify pulling the driver over. According to the report, in some documented cases officers have concealed the actual reason for the stop.

The report comes amid growing scrutiny of massive surveillance camera networks. Security researchers have disclosed a network of over 335,000 Flock ALPR cameras across the United States. Several officers have been fired for abusing the Flock surveillance system. Companies such as Flock Safety have been developing AI-enhanced systems that can identify "unusual" travel behaviour and associations between vehicles, marketing them as effective crime-prevention tools. The ACLU report condemns the approach and the use of mass surveillance generally, citing concerns over privacy, abuse, and limited regulation.

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Analysis

Why This Matters

AI-driven surveillance expands police power to stop individuals without probable cause based on behavior patterns.
The scale of ALPR networks (over 335,000 cameras in the US) means millions of drivers could be tracked and flagged.
The report raises questions about the regulation of surveillance technology and its potential for abuse.

Background

License plate readers have been used for years to track known suspects or locate stolen vehicles. However, the integration of AI and the proliferation of camera networks have enabled mass surveillance of all drivers. Companies like Flock Safety market these systems for crime prevention, but critics warn of privacy violations and racial bias. The ACLU report highlights that the use of AI to flag "suspicious" travel patterns could lead to more encounters with police for innocent people.

What to Watch

Further reports of officers abusing AI-driven surveillance systems, following firings over Flock system misuse.
Potential legislative responses at state or federal level to regulate AI use in traffic stops.
Lawsuits or legal challenges from drivers who believe they were stopped without proper cause based on AI flags.

Sources

Police are reportedly pulling motorists over because AI algorithms deem their driving patterns 'suspicious' · Tom's Hardware

Checked

12 claims in this story checked against 1 source: 8 supported.

Show each claim

SupportedThe ACLU warns that police use AI algorithms to justify traffic stops based on driving patterns deemed suspicious.Latest from Tom's Hardware: “Police are increasingly using AI-derived pretext to justify pulling drivers over, claims a report by the American Civil Liberties Union (ACLU) on October 26. According to Jay Stanley, a senior policy analyst with the ACLU Speech, Privacy, and Technology Project, police are using AI algorithms and automated license plate reader (ALPR) surveillance data to flag motorists whose travel histories appear “suspicious,” even without evidence of wrongdoing.”
Partly supportedThe report says AI and automated license plate readers are being used to flag drivers without evidence of wrongdoing.Latest from Tom's Hardware: “According to Jay Stanley, a senior policy analyst with the ACLU Speech, Privacy, and Technology Project, police are using AI algorithms and automated license plate reader (ALPR) surveillance data to flag motorists whose travel histories appear “suspicious,” even without evidence of wrongdoing.”
Partly supportedPolice are increasingly using AI algorithms and ALPR data to flag motorists as suspicious without evidence of wrongdoing.Latest from Tom's Hardware: “Police are increasingly using AI-derived pretext to justify pulling drivers over, claims a report by the American Civil Liberties Union (ACLU) on October 26. According to Jay Stanley, a senior policy analyst with the ACLU Speech, Privacy, and Technology Project, police are using AI algorithms and automated license plate reader (ALPR) surveillance data to flag motorists whose travel histories appear “suspicious,” even without evidence of wrongdoing.”
Partly supportedThe use of AI and ALPR data is leading to a rise in pretextual traffic stops.Latest from Tom's Hardware: “Condemning the approach and the use of mass surveillance in general, Stanley expressed concerns that this approach to law enforcement would lead to an uptick in the controversial “pretextual stops””
SupportedStanley said, “More and more people will be subject to police encounters as these AI algorithms inevitably sweep in far more innocent people than actual wrongdoers.”Latest from Tom's Hardware: ““More and more people will be subject to police encounters as these AI algorithms inevitably sweep in far more innocent people than actual wrongdoers.””
SupportedThe report was published on October 26.Latest from Tom's Hardware: “Police are increasingly using AI-derived pretext to justify pulling drivers over, claims a report by the American Civil Liberties Union (ACLU) on October 26.”
SupportedA woman says an officer stopped her during a cross-country road trip because a surveillance system flagged her movements as suspicious.Latest from Tom's Hardware: “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.”
SupportedAI can analyse vehicle-surveillance data for patterns deemed suspicious and trigger an alert to law enforcement.Latest from Tom's Hardware: “An AI system with access to the surveillance data can quickly analyze huge amounts of data and identify patterns it has been trained to deem as “suspicious,” triggering an alert to law enforcement.”
SupportedStanley suggested officers may receive an alert and look for a minor traffic violation to justify pulling a driver over.Latest from Tom's Hardware: “Stanley implies officers may receive the alert and look for a minor traffic violation to justify pulling the driver over.”
SupportedIn some documented cases, officers concealed the actual reason for a stop.Latest from Tom's Hardware: “In some documented cases, officers have concealed the actual reason for the stop.”
SupportedSecurity researchers disclosed a network of over 335,000 Flock ALPR cameras across the United States.Latest from Tom's Hardware: “Security researchers disclosed a network of over 335,000 Flock ALPR cameras across the United States .”
Partly supportedThe ACLU report condemns the approach and mass surveillance, citing privacy, abuse and limited-regulation concerns.Latest from Tom's Hardware: “Condemning the approach and the use of mass surveillance in general, Stanley expressed concerns that this approach to law enforcement would lead to an uptick in the controversial “pretextual stops””