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Future of Privacy Forum (FPF)

high confidence · updated 2026-06-06

Washington, DC-based nonprofit focused on privacy leadership and scholarship that has produced multiple analyses of AI legislation, voluntary standards, chatbot laws, and data-driven pricing.

The Future of Privacy Forum (FPF) is a Washington, DC-based nonprofit organization that began as a privacy-focused think tank and has produced a body of AI policy research covering state AI legislation, voluntary AI standards, chatbot laws, synthetic content, and data-driven pricing. Its stated mission is to be a "catalyst for privacy leadership and scholarship, advancing principled data practices in support of emerging technologies."

Type: Non-profit organization Location: Washington, DC Leadership: Jules Polonetsky (Executive Director); Stacey Gray (Senior Counsel); Jameson Spivack (Deputy Director for AI) Website: fpf.org

Overview

FPF is a nonprofit rather than an industry lobby, but it maintains relationships with companies through a membership model. Its AI work is oriented toward compliance practitioners and state legislators, and its analyses describe what laws require and how to implement them rather than advocating for or against particular regulatory approaches. This orientation distinguishes it from organizations such as the AI Now Institute, whose work is framed around critique and ethics, and the American Innovators Network, which advocates pro-industry positions.

Activities

FPF's AI policy publications span state legislation, voluntary standards, chatbot regulation, synthetic content, and pricing.

PublicationTopicWiki Page
FPF/Brookings SB 53 Analysis (Oct–Dec 2025)California SB 53 compliance obligationsFPF and Brookings — California SB 53 Compliance Analyses (Oct–Dec 2025)
Incentives or Obligations? (Mar 2026)NIST RMF and ISO 42001 becoming binding lawIncentives or Obligations? The U.S. Regulatory Approach to Voluntary AI Governance Standards
The Rest of the West (Apr 2026)Oregon SB 1546 + Washington HB 2225 chatbot lawsThe Rest of the West: Oregon and Washington Build on California Chatbot Law
The State of State AI (Oct 2025)210 state AI bills; regulatory trend analysisThe State of State AI: Legislative Approaches to AI in 2025
Synthetic Content Report (Oct 2024)Risk taxonomy + technical mitigation approachesSynthetic Content: Exploring the Risks, Technical Approaches, and Regulatory Responses
The Price is Right (Apr 2026)Data-driven personalized pricing best practicesThe Price is Right: Responsible Uses of Personal Data in Pricing
A Price to Pay (2025)51 algorithmic pricing bills in H1 2025FPF — A Price to Pay: U.S. Lawmaker Efforts to Regulate Algorithmic Pricing

Its analyses on state legislation include the FPF/Brookings analysis of California SB 53 compliance obligations (October–December 2025), co-authored with Brookings (Brookings Institution AI Initiative), and "The State of State AI" (October 2025), which mapped 210 state AI bills and analyzed regulatory trends. "The Rest of the West" (April 2026) compared the Oregon SB 1546 and Washington HB 2225 chatbot laws. On voluntary standards, "Incentives or Obligations?" (March 2026) examined the NIST AI RMF and ISO 42001 becoming binding law. The "Synthetic Content Report" (October 2024) set out a risk taxonomy and technical mitigation approaches. On pricing, "The Price is Right" (April 2026) addressed data-driven personalized pricing best practices, and "A Price to Pay" (2025) tracked 51 algorithmic pricing bills introduced in the first half of 2025.

FPF's reports describe what law requires rather than argue for what it should require; frame implementation "best practices" around existing standards such as the NIST AI RMF and ISO 42001; map legislative trends quantitatively, as in the 210-bill and 51-pricing-bill counts; and identify tradeoffs rather than endorse specific approaches.

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