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[…] role in shaping “well-balanced AI policies beyond our borders—especially in the absence of a comprehensive federal framework.” Supporters view the bill as a critical first step toward promoting transparency and reducing serious safety risks, while critics argue its requirements could be unduly burdensome on AI developers, potentially inhibiting innovation. These debates come as New […]

C om paris o n of Calif o rn ia ’s SB 53 an d New Yo rk ’s RA IS E Act: Fou n datio n Mod el Fra m ew ork s Cre ate d by: Ju stin e Glu ck , AI Polic y Analy st O ve rv ie w […]

[…] to opt-out, and appeal adverse decisions. It would also prohibit use of a high-risk AI system that produces algorithmic discrimination or has not passed an independent audit. Virginia HB 2094 (Veto’ed by Governor) Del. Maldonado (D) High-Risk AI / Automated Decisionmaking Would regulate AI systems used in consequential decisions, requiring entities to use reasonable […]

[…] strong concern that replicating the EU AI Act could create regulatory overreach. However, civil society groups argue that even comprehensive frameworks like the Colorado AI Act or Virginia’s HB 2094 (vetoed) are significantly narrower in scope and that highlighting that superficial similarities with the EU AI Act, such as shared definitions or structural references, […]

[…] AI development and deployment.  Enforcement tools and defense strategies: Legislatures expanded Attorney General investigative powers (such as civil investigative demands) in bills including Texas’ TRAIGA (enacted) and Virginia HB 2094 (vetoed). A variety of other defense mechanisms were introduced, including specific protections for whistleblowers, as represented in California’s SB 53 (enrolled). Looking Ahead to […]

[…] tests with the goals of these CPA amendments while simultaneously relying on inferences about potential users to assess a covered entities “actual knowledge” as to a particular user’s age. Additionally, the CPA’s directed to minors standard covers minors under the age of 18; encompassing a broader age range than COPPA, which applies to children […]

[…] tests with the goals of these CPA amendments while simultaneously relying on inferences about potential users to assess a covered entities “actual knowledge” as to a particular user’s age. Additionally, the CPA’s directed to minors standard covers minors under the age of 18; encompassing a broader age range than COPPA, which applies to children […]

[…] of real-world uses, concrete risks, and potential risk management for each category. In general, in this paper: Personalization refers to features of AI systems that adapt to an individual user’s preferences, behavior, history, or context. As conversational AI systems’ abilities to infer and retain information through a variety of mechanisms (e.g., larger context windows and enhanced memory) expand, and […]

[…] uses, concrete risks, and potential risk management for each category. In general, in this paper: Personalization refers to features of AI systems that adapt to an individual user’s preferences, behavior, history, or context. As conversational AI systems’ abilities to infer and retain information through a variety of mechanisms (e.g., larger context windows and enhanced […]