Montana became the first state to enact a “Right to Compute Act”. Montana lawmakers introduced 48 AI-related bills. Two have been signed into law, and another six bills have passed the legislature and are awaiting the governor’s signature to become law. Two additional bills have passed their chamber of origin and await further action before the legislature is scheduled to adjourn for the year on May 3. 

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.

California lawmakers enacted nearly 20 AI-related bills last year, although Gov. Gavin Newsom ultimately vetoed the most high-profile bill — Sen. Scott Wiener’s AI safety proposal (CA SB 1047). This year lawmakers in California have returned with even more ideas on how to regulate AI, introducing a flurry of bills ahead of last Friday’s bill introduction deadline. Most of the proposed bills have a narrow scope but take novel approaches to addressing some of the concerns raised by the emerging technology.

Last year, many expected Connecticut to become the first to pass artificial intelligence regulation due to the leadership of bill sponsor Sen. James Maroney (D). While his bill easily passed the Senate, it stalled out in the House when Gov. Ned Lamont (D) threatened to veto it. After consulting with stakeholders, Sen. Maroney has returned with a new bill he hopes to shepherd to the finish line this year. But it remains to be seen if Gov. Lamont will again play spoiler.

When proponents talk about the benefits of AI, one area of focus for the future of humanity is health care. Over time, it is hoped that AI can lead to breakthroughs in diagnosing diseases, discovering new drugs, and detecting cancer. Prior to that advancement coming to fruition, the messaging from lawmakers has been clear: we need to ensure consumer privacy and quality of care is protected and this advancement has to be done in a deliberative mechanism to mitigate disruption to health care delivery. This year, lawmakers in several states have introduced legislation addressing AI and its use in the health care industry, particularly for health insurers. 

Unlike legislatures in 48 other states, the Virginia General Assembly has entered the second year of its two-year legislative session and will wrap up business in a few short weeks as lawmakers prepare for elections this fall. Unsurprisingly, Virginia lawmakers have wasted no time moving major AI legislation, with two major bills passing their chambers of origin this week.   

Last year, state lawmakers introduced hundreds of bills regarding sexual and political deepfakes, enacting several of them. Political deepfake bills sought to protect political candidates from misleading communications while sexual deepfake bills protected individuals from having embarrassing computer-generated images of them distributed. This year, concerns about the use of one’s image have spurred lawmakers in some states to consider legislation concerning digital replicas, which may impact advertising and other commercial media.  

Chatbots have become pervasive in customer service, health care, banking, education, marketing, and sometimes, purely for entertainment purposes. But following a high-profile lawsuit stemming from a teen who committed suicide after a conversation with a chatbot, the technology has come under further scrutiny. State lawmakers are already introducing bills to regulate their use, which could have an impact on a wide-ranging number of businesses.

The AI policy trend that I’m keeping a keen eye on this year is what I’ll refer to as the “comprehensive consumer protection” AI bills. These originated last year with the introduction of Sen. Maroney (D) SB 2 in Connecticut. While that particular bill failed to cross the finish line due to a gubernatorial veto threat, legislation originally modeled off CT SB 2 passed the legislature in Colorado and was (reluctantly?) signed by Gov. Polis (D) into law. Notably, that law (CO SB 205) won’t go into effect until February 2026, giving lawmakers time to make necessary amendments.

We’re closely watching the introductions of anti-bias legislation inspired by last year’s proposed CT SB 2 and enacted CO SB 205, but they’ll only be a fraction of the bills debating in state capitol hearing rooms this year. Those bills attempt to address major consumer interactions with AI by laying out broad fields like employment, financial and legal services, housing, health care, and insurance. But narrower focused bills that target these industries individually or even a subset of known issues with AI and those sectors, are also popular.

California was the first to enact a comprehensive data privacy law and establish an agency to protect consumer data. The California Privacy Protection Agency (CPPA) has been slow to promulgate regulations, last month initiating formal rulemaking to update privacy laws and create new regulations on “automated decision-making technology” — specifically aimed at the emergence of artificial intelligence. These rules could have a broad scope with wide-ranging obligations for businesses that use the emerging technology to facilitate decisions. 

The elections are over, and while some states are still counting the final votes, we have a solid understanding of who will wield political control in each of the states next year. Lawmakers are already prefiling bills as we anticipate a wave of new legislation on artificial intelligence. As the first year of the legislative biennium in most states, 2025 should be very active with first-year lawmakers looking to get in on the action and a typically longer odd-year legislative session calendar.

This week, Texas Rep. Giovanni Capriglione (R) unveiled a draft of his anticipated artificial intelligence legislative proposal for next year’s legislative session, as reported by Austin Jenkins at Pluribus News. Capriglione has tried to position the bill as a more business-friendly model than the law enacted by Colorado and legislation proposed in Connecticut. In fact, this bill is likely a preview of the type of model legislation we’ll see introduced across a dozen states next year developed by a bipartisan group of 200 state lawmakers from 45 states.

While much of the focus on AI this year has been on the newest trend of generative AI, states have also addressed an AI-related legislative trend with more history — autonomous vehicles (AVs). As manufacturers continue testing and deploying AVs on public roads, most states now have laws in place regulating the operation of AVs on their public roads.