Highlights from FPF’s July 2025 Technologist Roundtable: AI Unlearning and Technical Guardrails
On July 17, 2025, the Future of Privacy Forum (FPF) hosted the second in a series of Technologist Roundtables with the goal of convening an open dialogue on complex technical questions that impact law and policy, and assisting global data protection and privacy policymakers in understanding the relevant technical basics of large language models (LLMs). […]
Highlights from FPF’s July 2025 Technologist Roundtable: AI Unlearning and Technical Guardrails
On July 17, 2025, the Future of Privacy Forum (FPF) hosted the second in a series of Technologist Roundtables with the goal of convening an open dialogue on complex technical questions that impact law and policy, and assisting global data protection and privacy policymakers in understanding the relevant technical basics of large language models (LLMs). […]
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
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 […]
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 […]