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Can Texas Police Use AI Facial Recognition to Identify You?

  • 1 day ago
  • 11 min read

What Texas’s New AI Law Means for Police Identification, Biometric Data, and Your Constitutional Rights


During a traffic stop in Amarillo, a man gave officers identification containing a different name.


Police used facial-recognition technology to identify him.

That event was described in an August 3, 2026, decision from the United States Court of Appeals for the Fifth Circuit, United States v. Turner.


The appeal did not decide whether the facial-recognition search was constitutional. But the case confirms that this technology is no longer a hypothetical issue for Texans.


Police may use a photograph from a surveillance camera, social-media account, body camera, or other source and compare it against images connected to known identities.


The software may return one or more possible matches.

But a possible match is not the same as proof that the person committed a crime.

Texas’s new Responsible Artificial Intelligence Governance Act provides some protections involving government AI systems, biometric identification, social scoring, and constitutional rights. The law took effect on January 1, 2026.

It does not completely prohibit police from using facial recognition.


Whether a particular use is lawful may depend on where the image came from, which database police searched, how the match was produced, what officers did to verify it, and whether the technology led to a stop, search, or arrest.


Texas police using AI facial recognition technology, highlighting the tension between public safety, privacy, and constitutional rights.
Texas police using AI facial recognition technology, highlighting the tension between public safety, privacy, and constitutional rights.

What Is AI Facial Recognition?


Facial-recognition technology uses software to measure and compare features appearing in images of a person’s face.


Police may begin with a photograph or video showing an unknown individual. The system can compare that image against photographs stored in one or more databases.


Those databases may contain:

  • Booking photographs

  • Driver’s-license or identification photographs

  • Images obtained during prior investigations

  • Photographs maintained by another government agency

  • Images collected from the internet or social media

  • Records supplied by a private facial-recognition provider


The system may then produce a list of people whose images appear similar to the original photograph.


That result is commonly used as an investigative lead.


It does not establish by itself:

  • Who was actually shown in the original image

  • Whether the person was present at the crime scene

  • Whether the person committed an offense

  • Whether the source image was clear or complete

  • Whether the database contained an accurate photograph

  • Whether investigators selected or interpreted the results correctly


The quality of the original image matters. Lighting, camera angle, resolution, facial coverings, movement, age, and changes in appearance may affect the result.


Can Texas Police Use Facial Recognition?


Yes—facial recognition is not completely prohibited in Texas.


Police may use the technology to develop leads, compare an unknown image against available records, or attempt to confirm the identity of someone they lawfully encounter.


But the legal analysis does not end when the software produces a match.

The Fourth Amendment still protects against unreasonable searches and seizures. Police generally need reasonable suspicion to detain someone and probable cause to make an arrest.


A facial-recognition result may become part of that analysis. Whether it is enough to justify police action depends on the reliability of the match and the other facts known to officers at the time.


Police may have stronger grounds when a possible match is independently supported by evidence such as:

  • A witness description

  • Clothing or other physical characteristics

  • Vehicle information

  • Cellphone or location records obtained lawfully

  • Surveillance video from another location

  • Fingerprints or other forensic evidence

  • Statements made by the person

  • Records connecting the person to the location or event


A computer-generated similarity score should not automatically replace an independent investigation.


What Changed Under Texas’s New AI Law?


The Texas Responsible Artificial Intelligence Governance Act—often called TRAIGA—took effect on January 1, 2026.


The law applies to certain people and entities that develop or deploy AI systems in Texas. It also contains specific restrictions for governmental entities.

Those restrictions address:

  • Government social scoring

  • Certain uses of biometric data to identify individuals

  • AI systems intended to infringe constitutional rights

  • Intentional unlawful discrimination

  • Disclosure when a government agency makes an AI system available to interact with consumers


The law states that a governmental entity may not deploy an AI system to uniquely identify a specific person using biometric data—or through certain targeted or untargeted gathering of images or other media from public sources without consent—if the gathering would infringe the person’s rights under the United States Constitution, the Texas Constitution, or state or federal law.


That final limitation matters.

The statute does not say that every use of facial recognition by police is illegal. It ties the restriction to whether protected rights are infringed.

The complete facts still matter.


Does the New Texas Law Ban Police Facial Recognition?


No.

TRAIGA creates limits and enforcement mechanisms, but it is not a blanket ban on law-enforcement facial recognition.


For example, the law does not clearly prohibit every comparison involving:

  • A booking photograph

  • A person encountered during a lawful traffic stop

  • A still image taken from surveillance video

  • A photograph connected to a known suspect

  • An image voluntarily provided to police

  • A database search conducted during a legitimate investigation


At the same time, the law does not give police unrestricted authority to collect images, search databases, or act on an AI-generated result.


Other constitutional and statutory protections may still apply.


A court may need to consider:

  • How police obtained the original image

  • Whether police accessed a private account or device

  • Whether a warrant or court order was required

  • Which photographs were included in the comparison database

  • Whether the search targeted one person or scanned many unidentified people

  • Whether the system was used during protected First Amendment activity

  • Whether officers independently verified the suggested match

  • Whether the result was included accurately in a warrant affidavit

  • Whether the match led to a detention, search, arrest, or prosecution


The fact that police used AI does not automatically make the investigation unconstitutional.


But using AI does not remove the Constitution from the investigation either.


Do Police Need a Warrant to Run a Facial-Recognition Search?


Not necessarily in every situation.


The answer may depend on what police searched and how they obtained the information.


Comparing a lawfully obtained surveillance image against booking photographs may present different legal issues from:

  • Entering a private online account

  • Searching a cellphone for stored photographs

  • Obtaining images from a cloud-storage provider

  • Accessing a restricted government database

  • Using a network of cameras to track someone in real time

  • Collecting large numbers of images from people attending a protest, church, or political event


Some methods may require a warrant, subpoena, court order, consent, or another recognized legal basis.


Others may involve information that police already possess or can lawfully view.

The Supreme Court has not announced a single rule making every police facial-recognition comparison a Fourth Amendment search.


The more important question may be whether police violated a reasonable expectation of privacy when obtaining the image or database information—and whether the resulting identification was used to justify a seizure of the person.


Facial-recognition matches are investigative leads that require independent verification before they can support a stop, search, or arrest.
Facial-recognition matches are investigative leads that require independent verification before they can support a stop, search, or arrest.

Is a Facial-Recognition Match Enough to Stop or Arrest Someone?


Not automatically.


Facial-recognition systems return possible matches based on algorithmic comparisons. They do not personally observe the incident, interview witnesses, or determine whether probable cause exists.


Federal agencies commonly describe facial-recognition results as investigative leads rather than final identifications.


The Government Accountability Office has warned that overreliance on facial recognition may contribute to the arrest or prosecution of innocent people.

The National Institute of Standards and Technology has also documented false-positive differences among some facial-recognition algorithms and demographic groups. Technology continues to improve, but no system is immune from error.

Before taking enforcement action, investigators should examine the underlying image and seek independent evidence.


Important questions may include:

  • How many possible matches did the system return?

  • What confidence score did it assign?

  • Was the source image clear enough for a reliable comparison?

  • Did a trained examiner review the result?

  • Did investigators compare distinctive features or simply accept the first result?

  • Was contradictory evidence ignored?

  • Did officers tell a judge that the identity came from AI facial recognition?

  • Did the warrant affidavit describe the technology’s limits accurately?


A person’s resemblance to a photograph does not automatically establish probable cause.


What Does United States v. Turner Mean for Texans?


In United States v. Turner, the Fifth Circuit described police using facial-recognition technology during a September 2024 traffic stop in Amarillo.


According to the court’s opinion, Turner presented false identification but was correctly identified through facial recognition. Officers then arrested him on outstanding state warrants, and he was later prosecuted for failing to register as a sex offender.


The August 3, 2026, decision primarily addressed a federal sentencing issue.

It did not decide:

  • Whether running the facial-recognition comparison was a Fourth Amendment search

  • Whether a warrant was required

  • Which database police used

  • What safeguards governed the search

  • Whether facial recognition alone would have justified an arrest


The case should not be treated as a broad court ruling approving every police use of facial recognition.


Its immediate significance is more practical: facial-recognition technology is already being used in Texas encounters, and its role may appear only briefly in the public record unless someone examines the complete investigation.


Can Police Use Online Photographs to Identify You?


Sometimes—but the source and method matter.


A photograph being publicly visible online does not necessarily answer every constitutional or statutory question about how government may collect, analyze, combine, and use it.


TRAIGA specifically addresses certain government use of biometric data and the targeted or untargeted gathering of images or other media from the internet or another publicly available source.


However, the restriction applies when the government’s conduct would infringe rights protected by the United States Constitution, Texas Constitution, or other law.

Questions may become more serious when police:

  • Collect images from many people who are not suspected of a crime

  • Build or access a persistent identification database

  • Monitor a protest, religious service, or political gathering

  • Combine facial recognition with location tracking

  • Use the technology to classify people based on personal characteristics or associations

  • Retain information after determining that someone was not involved


The scale, purpose, duration, and consequences of the surveillance may all matter.


Does TRAIGA Give You the Right to Sue?


Not by itself.


The Texas attorney general has primary enforcement authority under TRAIGA. The law expressly states that it does not create a private right of action.


That means a person generally cannot file a lawsuit based only on an alleged TRAIGA violation.


But that does not eliminate other possible claims.

If police use facial recognition in a way that leads to an unconstitutional detention, search, arrest, or prosecution, the person may have claims under existing federal or state law.


A civil-rights case may depend on:

  • Whether officers had reasonable suspicion or probable cause

  • Whether false or misleading information appeared in a warrant affidavit

  • Whether officers omitted material facts about the reliability of the match

  • Whether police ignored evidence showing that the person was not the individual depicted

  • Whether the person was detained after the basis for suspicion disappeared

  • Whether clearly established constitutional law was violated

  • Whether qualified immunity applies

  • Whether a city policy, custom, training failure, or supervisory decision contributed to the violation

  • What injury resulted from the government’s conduct


A violation of an agency policy or AI guideline does not automatically prove a constitutional violation.


The legal analysis depends on the complete circumstances.


What Should You Do If Police Identified You Through Facial Recognition?


If police tell you that facial recognition connected you to an investigation, do not assume the technology is automatically correct.


Do Not Consent to Additional Searches

Police may ask to search your phone, photographs, messages, or online accounts.

You may clearly state that you do not consent to a search.

Do not physically interfere with officers. But do not assume that you must unlock a device or provide account access simply because an officer requests it.


Do Not Guess or Provide a Detailed Statement

An officer may describe the facial-recognition result as conclusive to encourage you to explain where you were or what you were doing.

Do not guess about dates, locations, clothing, or people shown in an image.

You may state that you want to speak with an attorney before answering detailed questions.


Preserve Evidence Showing Where You Were

Relevant evidence may include:

  • Original photographs and videos

  • Receipts and transaction records

  • Work schedules or time records

  • Messages and call logs

  • Vehicle-location records

  • Lawfully maintained cellphone location history

  • Witness information

  • Home or business surveillance footage

  • Travel records

Do not delete or alter potential evidence, even if you believe it is unimportant.


Document What Police Said About the Technology

Write down:

  • The date and location of the encounter

  • Which agency contacted you

  • Whether officers said a computer or facial-recognition system identified you

  • Whether they showed you the original image

  • Whether they mentioned a confidence score or database

  • Whether you were free to leave

  • Whether officers searched or seized your phone

  • Whether you were detained or arrested

  • Whether police requested consent

  • The names or badge numbers of involved officers, if known

Small details may become important when reconstructing the investigation.


Speak With an Attorney Early

An attorney may be able to seek the records necessary to determine how police selected you and whether they independently verified the result.

Early review may also help preserve video, database logs, audit records, dispatch communications, and other evidence that may otherwise be overwritten or difficult to obtain.


Request the Records Behind the Match


The final police report may describe facial recognition in only a sentence or two.

That summary may not reveal how the system produced the result.


Relevant records may include:

  • The original photograph or video submitted for comparison

  • An uncompressed copy of the source image

  • The name and version of the facial-recognition system

  • The database or databases searched

  • Every candidate returned by the system

  • Similarity or confidence scores

  • Search settings and thresholds

  • Search and audit logs

  • Notes created by the analyst

  • Training and certification records

  • Department facial-recognition policies

  • Communications with another agency or private vendor

  • Records showing who approved the search

  • Evidence used to confirm or reject each candidate

  • Warrant applications and supporting affidavits

  • Body-camera and dashboard-camera video

  • Dispatch and traffic-stop records

  • Documents reflecting retention or deletion of the search results


If police relied on facial recognition to obtain a warrant, the exact wording of the affidavit may be critical.


A court may need to determine whether the affidavit fairly explained the match, the quality of the source image, the system’s limitations, and any conflicting information known to investigators.


Why Facial Recognition Matters in a Civil-Rights Case


Facial-recognition evidence may become important in claims involving:

  • Unlawful detention

  • False arrest

  • Unreasonable search or seizure

  • Misleading warrant applications

  • Improper seizure or search of a cellphone

  • First Amendment retaliation

  • Discriminatory policing

  • Failure to train or supervise officers

  • Unconstitutional surveillance policies


But an incorrect match does not automatically establish civil liability.

A civil-rights claim may depend on what each official knew, whether officers independently verified the result, whether probable cause existed without the match, and whether clearly established law was violated.


The technology, police reports, warrant materials, body-camera footage, and complete investigative timeline should be evaluated together.

The legal analysis depends on the complete circumstances.


The Bottom Line


Texas police may use AI facial recognition as part of an investigation.

Texas’s new AI law does not completely ban that practice. It places limits on certain government AI uses involving biometric identification, image gathering, social scoring, discrimination, and constitutional rights.


A facial-recognition result should generally be treated as an investigative lead—not automatic proof that someone committed a crime.


Police still need a lawful basis for a detention, search, or arrest. Courts may need to examine where the original image came from, which records were searched, how reliable the result was, whether investigators disclosed the technology’s limitations, and what evidence independently confirmed the identification.


If facial recognition was used to identify, detain, search, or arrest you, preserve every record connected to the encounter. The original image, candidate list, audit logs, warrant affidavit, and steps officers used to verify the result may be critical.


Contact a Texas Civil Rights Attorney


If police used facial recognition or another AI system to identify you, search your property, detain you, or arrest you, early legal review can be critical.


Grable PLLC represents individuals in civil rights and constitutional cases involving unlawful searches, seizures, arrests, and government misconduct throughout Texas.

Contact the firm to discuss what happened and whether your constitutional rights were violated.


210-963-5297

 
 
 

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