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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
[…] bills contain such exemptions—legislation might still inadvertently capture other accepted practices such as specials aligned with seasonal changes, bulk purchase discounts, deals on goods nearing expiration, or promotions to clear inventory. Lawmakers must also consider how any new definitions interact with definitions in existing law. For example, an early version of California AB 446, […]
2025 FPF Privacy Groups
[…] practices for sectors. Jordan Wrigley, Researcher for Health and Wellness, [email protected] K-12 Education – Calls scheduled ad hoc ● Private sector participants discuss and learn about the latest student privacy issues. Daniel Hayes, Policy Fellow for Youth & Education Privacy, [email protected] Mobility & Location – Quarterly calls ● Manufacturers, technology suppliers, innovative mobility companies, […]
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
[…] annual PDP Week experience has always been about bringing our global FPF community – members, fellows, and friends – together for deep and meaningful conversations about the latest developments. This year, FPF APAC organized two events for its members: a Privacy Leaders’ Luncheon (an annual staple), and for the first time, an India Luncheon […]
Balancing Innovation and Oversight: Regulatory Sandboxes as a Tool for AI Governance
[…] opportunities that legislators can address in real-time during the legislative process. Agencies and other regulatory bodies can also build capacity as they work with industry to understand latest developments in technology and how industry is using these developments. Sandboxes also help regulators develop best practices around how they would utilize existing authorities regarding these […]
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