Call for Nominations: 16th Annual Privacy Papers for Policymakers Awards
The 16th Privacy Papers for Policymakers call for submissions is now open until October 30, 2025. FPF’s Privacy Papers for Policymakers Award recognizes leading privacy research and analytical scholarship relevant to policymakers in the U.S. and internationally. The award highlights important work that analyzes current and emerging privacy issues and proposes achievable short-term solutions or […]
“Personality vs. Personalization” in AI Systems: Responsible Design and Risk Management (Part 4)
This post is the fourth and final blog post in a series on personality versus personalization in AI systems. Read Part 1 (exploring concepts), Part 2 (concrete uses and risks), and Part 3 (intersection with U.S. law). Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to […]
“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 […]
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 […]
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 […]
FPF at PDP Week 2025: Generative AI, Digital Trust, and the Future of Cross-Border Data Transfers in APAC
Authors: Darren Ang Wei Cheng and James Jerin Akash (FPF APAC Interns) From July 7 to 10, 2025, the Future of Privacy Forum (FPF)’s Asia-Pacific (APAC) office was actively engaged in Singapore’s Personal Data Protection Week 2025 (PDP Week) – a week of events hosted by the Personal Data Protection Commission of Singapore (PDPC) at […]
Balancing Innovation and Oversight: Regulatory Sandboxes as a Tool for AI Governance
Thanks to Marlene Smith for her research contributions. As policymakers worldwide seek to support beneficial uses of artificial intelligence (AI), many are exploring the concept of “regulatory sandboxes.” Broadly speaking, regulatory sandboxes are legal oversight frameworks that offer participating organizations the opportunity to experiment with emerging technologies within a controlled environment, usually combining regulatory oversight […]