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 […]
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
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 […]
Practical Takeaways from FPF’s Privacy Enhancing Technologies Workshop
In April, the Future of Privacy Forum and the Mozilla Foundation hosted an all-day workshop with technology, legal, and policy experts to explore Privacy Enhancing Technologies (PETs). During the workshop, multiple companies presented technologies they developed and implemented to preserve individuals’ privacy. In addition, the participants discussed steps for broadening the adoption of these technologies […]
Privacy Enhancing Technologies Workshop Proceedings
On April 25, 2025, the Future of Privacy Forum and the Mozilla Foundation co-hosted a Privacy Enhancing Technologies (PETs) Workshop in Washington, DC, convening industry, academia, and civil society experts to explore practical applications of PETs. The workshop featured two leading-edge use cases: Mastercard’s cross-border fraud detection system using Fully Homomorphic Encryption (FHE), and Oblivious’s […]
Privacy Enhancing Technologies Workshop Proceedings
I S SU E BRIE F U .S . PO LIC Y P ETs Work sh op Pro ce ed in g s E xe cu tiv e Sum mary The Future of Privacy Forum (FPF) and the Mozilla Foundation hosted a PETs Workshop featuring short, expert panels exploring new and emerging Privacy Enhancing Technology […]
PETs Use Case: Differential Privacy for End-of-Life Data
In this use case, Oblivious partnered with an insurance company to tackle a common tension between data privacy and utility: how to retain meaningful insights from personal data while complying with legal requirements to delete it. By applying Differential Privacy, the organization can preserve actuarial insights without violating global privacy laws, generating differentially private statistical […]
PETs Use Case_ Differential Privacy for End-of-Life Data
I S SU E BRIE F U .S . PO LIC Y P ETs Use Case : D iff ere ntia l Priv a cy fo r End -o f- L if e Data O rg an iz a tio ns: Obliv io us; unnam ed in su ra n ce co m pan y […]