Bills › 91st General Assembly
Prohibiting the use of an automated decision-making system to alter the price of a product or service for a specific individual based on surveillance data, and providing civil penalties
Sponsored by Rep. Larry McBurney (D)
Where it is now
- Done: IntroducedFebruary 16, 2026
- Stopped: SubcommitteeDied when the General Assembly ended
- Next: House committeeFunnel: by February 20, 2026
- Next: Passes the House
- Next: Senate committeeFunnel: by March 20, 2026
- Next: Passes the Senate
- Next: To the Governor
- Next: Signed into law
Died when the session ended The 2026 session adjourned on May 3, 2026, the General Assembly’s last regular session. Bills that didn’t pass both chambers died. What’s a funnel?
What’s in it
AI summary Companies cannot use artificial intelligence or algorithms to change the price of a product or service for a specific person based on data collected through surveillance. This rule protects consumers from having prices altered using information about their behaviors, characteristics, or salaries. If a business breaks this law, they can be sued or forced to pay penalties.1
Read the official explanation
This bill prohibits the use of an automated decision-making system to alter the price of a product or service for a specific individual based on surveillance data.16 (consumer fraud) and Code chapter 714H (consumer fraud —— private action), which can result in remedies including but not limited to an injunction, restoration of a person’s money or property, disgorgement of moneys or property, a civil penalty of up to $40,000 per violation, and liability pursuant to a private cause of action. The bill lists several instances when a person may use an automated decision-making system to alter the price of a product or service for a specific individual. The bill defines “automated decision-making system” as a system that uses artificial intelligence or algorithms to make decisions or predictions with little or no human intervention. The bill defines “surveillance data” as data obtained through observation, inference, or surveillance of an individual that is related to the characteristics, behaviors, salaries, or biometrics of the individual or a group to which the individual belongs.