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California’s SB 53: The First Frontier AI Law, Explained
California Enacts First Frontier AI Law as New York Weighs Its Own On September 29, Governor Newsom (D) signed SB 53, the “Transparency in Frontier Artificial Intelligence Act (TFAIA),” authored by Sen. Scott Wiener (D). The law makes California the first state to enact a statute specifically targeting frontier artificial intelligence (AI) safety and transparency. […]

The State of State AI 2025 SUPPLEMENTAL
[…] bill would require generative AI providers to include provenance data on synthetic content produced or modified by a generative AI system. New York S 1169 / A 8884 Sen. Gonzalez (D) ADMT/High-Risk AI Among other things, this bill would also create whistleblower protections, New York A 8833 Asm. Bores (D) Liability The “Understanding Artificial […]

The State of State AI: Legislative Approaches to AI in 2025
State lawmakers accelerated their focus on AI regulation in 2025, proposing a vast array of new regulatory models. From chatbots and frontier models to healthcare, liability, and sandboxes, legislators examined nearly every aspect of AI as they sought to address its impact on their constituents. To help stakeholders understand this rapidly evolving environment, the Future […]

Asia-Pacific Office Internship (FPF APAC)
[…] data protection, regional data protection developments, online advertising, and immersive technologies. Internship structure We recommend that FPF APAC interns participate minimally in a two-month in-person internship in Singapore, preferably for the months of June and July. The internship will be a full-time position. The FPF APAC internship is a hybrid internship (i.e., combining in-person […]

Concepts in AI Governance: Personality vs. Personalization
Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to users’ preferences, behaviors, and virtual and physical environments. These range from general purpose LLMs, to the rapidly growing market for LLM-powered AI companions, educational aides, and corporate assistants. There are clear trends among this overall focus: towards […]

Concepts in AI Governance: Personality vs. Personalization
Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to users’ preferences, behaviors, and virtual and physical environments. These range from general purpose LLMs, to the rapidly growing market for LLM-powered AI companions, educational aides, and corporate assistants. There are clear trends among this overall focus: towards […]

Future of Privacy Forum Honors Julie Brill with Lifetime Achievement Award
[…] and legal implications of data use, identify the risks, and develop appropriate protections. FPF believes technology and data can benefit society and improve lives if the right laws, policies, and rules are in place. FPF has offices in Washington D.C., Brussels, Singapore, and Tel Aviv. Follow FPF on X and LinkedIn. dsc 0482 img 3659

“Personality vs. Personalization” in AI Systems: Responsible Design and Risk Management (Part 4)
[…] chatbot or AI companion has agentic features, it may make independent decisions about what data to collect and process in order to perform a task, such as booking a restaurant reservation. Designing these systems to limit data processing activities to what is appropriate to the context can reduce the likelihood that the chatbot or […]

“Personality vs. Personalization” in AI Systems: Intersection with Evolving U.S. Law (Part 3)
This post is the third in a series on personality versus personality in AI systems. Read Part 1 (exploring concepts) and Part 2 (concrete uses and risks). Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to users’ preferences, behaviors, and virtual and physical environments. These […]

“Personality vs. Personalization” in AI Systems: Specific Uses and Concrete Risks (Part 2)
This post is the second in a multi-part series on personality versus personalization in AI systems, providing an overview of these concepts and their use cases, concrete risks, legal considerations, and potential risk management for each category. The previous post provided an introduction to personality versus personalization. In AI governance and public policy, the many […]