In 2024, Colorado became the first state in the nation to enact a broad algorithmic discrimination law with SB 205. The law aimed to place guardrails on the growing use of artificial intelligence by requiring developers and deployers of “high-risk” systems to use reasonable care to prevent algorithmic discrimination and to conduct impact assessments when AI systems were used in consequential decisions. But even upon signing the bill, Gov. Jared Polis (D) acknowledged that changes would have to be made before the bill took effect in February of 2026. Colorado lawmakers were unable to find a solution earlier this year and will redouble their efforts during a special session, hoping to revise the law to mitigate potential harms while also allowing AI to flourish as an industry.

Before it adjourned this week, the New York Legislature passed an important AI safety bill — the RAISE Act — through both chambers last Thursday. Unlike the algorithmic discrimination bills that have proliferated this year, which place requirements on any organization using AI tools, New York’s RAISE Act is an AI safety bill, placing requirements on the developers of the most powerful AI models.

The Texas Legislature approved the Texas Responsible Artificial Intelligence Governance Act (TRAIGA), an AI regulation bill that is much scaled-down from the ambitious “red state model” bill sponsor Rep. Giovanni Capriglione (R) originally proposed. While the bill does impose limited guardrails and transparency measures, it is a retreat from robust regulation, a victory for industry groups wary of new compliance burdens, and a reflection of the political headwinds facing AI legislation across the country. The governor has until June 22, 2025, to decide whether to sign the bill into law.

This year, several states introduced large comprehensive consumer protection AI bills, many of which have been substantially amended or failed to see much movement. However, states have also introduced smaller, more targeted AI legislation that addresses certain topics such as insurance, renting, and employment. But even these more targeted AI bills appear to be struggling to make it through the legislative process, with only a few making it to a governor’s desk. 

As image, video, and voice generation technology progresses, more emphasis will be placed on potential abuses, namely deepfakes. State lawmakers have already responded by enacting over 100 laws related to deepfakes — by far the most popular AI-related regulation across the country. And this month, Congress joined the party when President Trump signed the TAKE IT DOWN Act into federal law. 

The Connecticut Senate has passed a stripped-down version of Sen. James Maroney’s (D) comprehensive AI bill (CT SB 2). This is the second attempt at a comprehensive AI bill pushed by Sen. Maroney after his bill last year failed to gain the support of Gov. Ned Lamont (D) after also gaining approval in the Senate. The amendments this week further reflect how momentum has shifted against the regulation of AI nationwide, and how even advocates are acknowledging a new political reality.

House Republicans on the Energy and Commerce Committee submitted text to be included in the budget reconciliation bill that includes Section 43201, a ten-year moratorium on enforcement of any state or local law or regulation “regulating artificial intelligence models, artificial intelligence systems, or automated decision systems.” For years, companies have pushed for federal preemption in consumer data privacy, to replace a growing patchwork of state laws with a single national standard more favorable to industry interests. But attempts to pass federal legislation have failed, leaving consumer data regulation to the states. If enacted, the measure would bar states from enforcing or enacting laws governing AI systems and automated decision-making tools, effectively freezing and negating state oversight.

Last year, we noted that Utah’s moderate approach to AI regulation could be 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.

In 2024, Colorado became the first state to enact a broad algorithmic discrimination law regulating high-risk artificial intelligence systems. Gov. Jared Polis (D) signed the bill “with reservations”, vowing there would be changes to the law before it went into effect. This week, we saw the first concrete proposal to amend that law with the introduction of SB 318 by Sen. Robert Rodriguez (D), who drafted the original AI law. The proposed changes would significantly pare back the law, loosening its strictest provisions while preserving core protections against algorithmic discrimination.

Connecticut lawmakers are navigating a delicate balance between encouraging artificial intelligence innovation and imposing meaningful regulatory guardrails, a tension reflected in two major bills recently advanced by the General Law Committee.

The California Privacy Protection Agency (CPPA) considered proposed regulations on automated decision-making technology (ADMT), cybersecurity audits, and risk assessments, ultimately directing staff to revise the proposals in response to public comments. The meeting shows a retreat on regulation due to industry pushback and a recognition of shifting political winds. 

The recent release of multimodal image generation has allowed users to create high-quality images, and when expanded to not just images, but to video and voice, is ripe for fraud. 

Last Friday, Texas Rep. Giovanni Capriglione (R) filed a new version of his high-profile algorithmic discrimination legislation. The new version removes many of the requirements placed on private sector developers, deployers, and distributors of AI that were a major focus of the original bill.

When we previewed the 2024 legislative session, we noted the challenge lawmakers face in regulating artificial intelligence without stifling a nascent industry with tremendous potential. Fifteen months later, those tensions have become even more apparent. Efforts to reign in AI have been hampered by concerns about its effect on the economy, national security, and geopolitics.

We’ve got our first major AI safety bill language of the year, this time in New York. Most of the state AI policy attention late last year was squarely focused on Sen. Scott Wiener’s (D) AI safety bill (CA SB 1047) in California until Gov. Gavin Newsom (D) ultimately vetoed the proposal. Last week, Sen. Scott Wiener added language to his placeholder bill (CA SB 53), believed to be this year’s version of the AI safety bill. New York Assemblymember Alex Bores (D) released a detailed AI safety bill (NY AB 6453) inspired by Sen. Wiener’s SB 1047.