Anne Bradley
Comments regarding draft regulations for implementing the New Jersey Data Privacy Act (NJDPA)
On August 28th, FPF provided comments regarding draft regulations for implementing the New Jersey Data Privacy Act (“NJDPA”). FPF seeks to support balanced, informed public policy and equip regulators with the resources and tools needed to craft effective regulation. In response to the Agency’s public comment on the proposed rules, FPF recommends that the Division […]
“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 […]
AI Regulation in Latin America: Overview and Emerging Trends in Key Proposals
The widespread adoption of artificial intelligence (AI) continues to impact societies and economies around the world. Policymakers worldwide have begun pushing for normative frameworks to regulate the design, deployment, and use of AI according to their specific ethical and legal standards. In Latin America, some countries have joined these efforts by introducing legislative proposals and […]
AI Regulation in Latin America: Overview and Emerging Trends in Key Proposals
The widespread adoption of artificial intelligence (AI) continues to impact societies and economies around the world. Policymakers worldwide have begun pushing for normative frameworks to regulate the design, deployment, and use of AI according to their specific ethical and legal standards. In Latin America, some countries have joined these efforts by introducing legislative proposals and […]
A Price to Pay: U.S. Lawmaker Efforts to Regulate Algorithmic and Data-Driven Pricing
“Algorithmic pricing,” “surveillance pricing,” “dynamic pricing”: in states across the U.S., lawmakers are introducing legislation to regulate a range of practices that use large amounts of data and algorithms to routinely inform decisions about the prices and products offered to consumers. These bills—targeting what this analysis collectively calls “data-driven pricing”—follow the Federal Trade Commission (FTC)’s […]
Global Privacy Assembly
This September, the Future of Privacy Forum will be participating in several events during the 47th Global Privacy Assembly in South Korea. The Global Privacy Assembly (GPA) is a leading international forum that brings together data protection and privacy authorities from around the world. Originally convened in 1979 as the International Conference of Data Protection […]
2025 FPF Privacy Groups
PRIVACY GROUPS FPF Privacy Groups bring industry leaders together with FPF staff and experts to develop best practices, share insights, and promote pragmatic public policy solutions. Privacy Group members receive regular written updates on developments in their field. FPF members can access these privacy groups via the FPF Portal communities. For those without a Member […]
The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
As of halfway through 2025, four U.S. states have enacted laws regarding “neural data” or “neurotechnology data.” These laws, all of which amend existing state privacy laws, signify growing lawmaker interest in regulating what’s being considered a distinct, particularly sensitive kind of data: information about people’s thoughts, feelings, and mental activity. Created in response to […]
The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
Co-authored by Chris Victory, FPF Intern As of halfway through 2025, four U.S. states have enacted laws regarding “neural data” or “neurotechnology data.” These laws, all of which amend existing state privacy laws, signify growing lawmaker interest in regulating what’s being considered a distinct, particularly sensitive kind of data: information about people’s thoughts, feelings, and […]