Utah's Measured Approach to Mental Health AI
Key highlights this week:
We’re tracking 1,000 bills in all 50 states related to AI during the 2025 legislative session.
In an unexpected twist, the proposal to scale back Colorado’s AI law, which we analyzed last week, failed to make it across the finish line in time for Wednesday’s adjournment deadline.
A key Connecticut Senate committee approved Sen. Maroney’s (D) algorithmic discrimination bill this week. But the governor, who derailed last year’s effort, remains noncommittal.
The California Privacy Protection Agency released new draft regulations that trim back earlier proposals to regulate automated decision-making technology (ADMT). Stakeholders have until June 2 to submit comments.
And as legislative sessions wrap up in many states, and lawmakers have officially introduced 1,000 bills this year by our count, we dive into Utah’s underrated AI policymaking in this week’s deep dive.
Last year, I declared Utah’s moderate approach to AI regulation as a potential model for other states to follow. This year, lawmakers and regulators in Utah followed up on last year’s AI Policy Act with a targeted approach to mental health AI chatbots.
Since 2021, Utah has enacted 14 bills related to AI (including 6 this year). The state’s signature AI law is last year’s Artificial Intelligence Policy Act (UT SB 149), which clarifies that the use of an AI system is not a defense for violating the state’s consumer protection laws and requires disclosure when an individual interacts with AI in a regulated occupation. This emphasis on transparency is a hallmark of Utah’s strategy of light-touch AI regulation.
