State lawmakers are pursuing a variety of legislative proposals aimed at regulating the development and use of artificial intelligence (“AI”).  In the past two months, legislators in Florida, New Mexico, Utah, and Washington passed legislation regulating AI-generated content, and Utah’s legislature passed legislation regulating generative AI and establishing a state test bed for evaluating future AI regulations.  These are just a sampling of the wave of legislative proposals advancing in states across the country.

Legislation Addressing AI-Generated Content.  Several state legislatures have passed legislation setting forth requirements for AI-generated content.  As of the date of this writing, the New Mexico law referenced below has been fully enacted, while the other pieces of legislation are awaiting signature by the governors of the relevant states.

  • Election Content:  State legislatures have passed laws focused specifically on AI-generated election content.  For example, New Mexico’s recently enacted HB 182 requires disclaimers for materially deceptive AI-generated ads and amends the New Mexico Campaign Reporting Act to prohibit the distribution of materially deceptive media before an election without a disclaimer.  Utah’s SB 131, which was passed by the state legislature, would require disclaimers for political communications that include synthetic media.  Similarly, Florida’s state legislature passed HB 919, which would require disclaimers for political ads that contain content created using generative AI. 
  • AI-generated CSAM:  Washington’s legislature passed a bill in recent weeks, HB 1999, which would ban the possession of AI-generated child sexual abuse material (“CSAM”) and the disclosure of AI-generated intimate imagery. 

Generative AI Legislation.  On February 28, 2024, the Utah legislature passed the AI Policy Act (SB 149), which now awaits the governor’s signature.  The bill would require disclaimers for certain interactions with generative AI, clarify civil and criminal liability for acts involving generative AI, and establish a state AI Learning Laboratory Program to test new AI regulations.  Among other things, the AI Policy Act would require disclosures to consumers in certain contexts to make clear that they are interacting with generative AI, not a human.  The bill also would create an AI Learning Laboratory for AI research that would bring together public and private companies to provide recommendations for AI legislation and regulation.

We are closely monitoring these developments as they unfold.  You can find a summary of key themes in AI bills introduced by state legislatures in the past year in our blog post here.

We will continue to update you on meaningful developments related to artificial intelligence and technology regulation here and across our blogs.

Photo of Jennifer Johnson Jennifer Johnson

Jennifer Johnson is a partner specializing in communications, media and technology matters who serves as Co-Chair of Covington’s Technology Industry Group and its global and multi-disciplinary Artificial Intelligence (AI) and Internet of Things (IoT) Groups. She represents and advises technology companies, content distributors…

Jennifer Johnson is a partner specializing in communications, media and technology matters who serves as Co-Chair of Covington’s Technology Industry Group and its global and multi-disciplinary Artificial Intelligence (AI) and Internet of Things (IoT) Groups. She represents and advises technology companies, content distributors, television companies, trade associations, and other entities on a wide range of media and technology matters. Jennifer has three decades of experience advising clients in the communications, media and technology sectors, and has held leadership roles in these practices for more than twenty years. On technology issues, she collaborates with Covington’s global, multi-disciplinary team to assist companies navigating the complex statutory and regulatory constructs surrounding this evolving area, including product counseling and technology transactions related to connected and autonomous vehicles, internet connected devices, artificial intelligence, smart ecosystems, and other IoT products and services. Jennifer serves on the Board of Editors of The Journal of Robotics, Artificial Intelligence & Law.

Jennifer assists clients in developing and pursuing strategic business and policy objectives before the Federal Communications Commission (FCC) and Congress and through transactions and other business arrangements. She regularly advises clients on FCC regulatory matters and advocates frequently before the FCC. Jennifer has extensive experience negotiating content acquisition and distribution agreements for media and technology companies, including program distribution agreements, network affiliation and other program rights agreements, and agreements providing for the aggregation and distribution of content on over-the-top app-based platforms. She also assists investment clients in structuring, evaluating, and pursuing potential investments in media and technology companies.

Photo of Jayne Ponder Jayne Ponder

Jayne Ponder counsels companies on the intersection of privacy, AI, and emerging technology regulation, and routinely represents clients in regulatory inquiries, investigations, and enforcement matters before federal and state agencies.

Jayne counsels clients across industries to launch and enhance products, services, and governance…

Jayne Ponder counsels companies on the intersection of privacy, AI, and emerging technology regulation, and routinely represents clients in regulatory inquiries, investigations, and enforcement matters before federal and state agencies.

Jayne counsels clients across industries to launch and enhance products, services, and governance programs involving their collection and use of data and emerging technologies. Her experience spans U.S. comprehensive privacy, automated decisionmaking, AI governance, biometric privacy, surveillance and algorithmic pricing, and AI transparency, disclosure, and safety frameworks. She partners with clients to design products and governance programs that keep pace with the dynamic regulatory environment, including in connection with digital and online advertising, social media, AI-powered and agentic services, connected devices, and robotics.

In addition, she advises companies on engagement with federal and state regulators, including through enforcement and rulemaking. Jayne analyzes privacy and security risks in complex corporate transactions. She also provides strategic input on the legislative, regulatory, and policy developments shaping the privacy and AI landscape.

Jayne maintains an active pro bono practice, focusing on assisting nonprofits with their privacy programs and elder estate planning.