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The State of State AI: Legislative Approaches to AI in 2025
[…] 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 […]

FPF Submits Comments to Inform Colorado Minor Privacy Protections Rulemaking Process
[…] 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 […]

FPF Submits Comments to Inform Colorado Minor Privacy Protections Rulemaking Process
[…] 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 […]

Asia-Pacific Office Internship (FPF APAC)
[…] variety of issue areas related to the intersection of data protection, emerging technology, and evolving industry practices. This includes, for example, researching and analyzing the impact of new technologies, advising companies on emerging data practices, engaging with policymakers and partners, and conducting a variety of legal, technical, and policy research and thought leadership. Issue […]

Concepts in AI Governance: Personality vs. Personalization
[…] 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 […]

Concepts in AI Governance: Personality vs. Personalization
[…] 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 […]

Concepts in AI Governance_ Personality vs. Personalization
[…] ca st of ch a ra cte rs – a ll wit h uniq ue back sto rie s.” ” I n tr o d ucin g New A I Exp erie nce s Acro ss Our Fa m ily of Apps and D evic e s , ” Sep t. 27, 20 23, […]

Harriet Pearson

Anne Bradley

“Personality vs. Personalization” in AI Systems: Responsible Design and Risk Management (Part 4)
[…] to giving users insight into whether a chatbot provider may use data gathered to enable personalization features for model training purposes. Chatbot and companions’ conversational interfaces create new opportunities for users to understand what data is gathered about them, for what purposes, and take actions that can have legal effects (e.g., requesting that data […]