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PETs Use Case: Differential Privacy for End-of-Life Data
[…] 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 “snapshots” before erasing the underlying microdata. This approach creates a privacy-preserving middle ground […]

Use Case: Preventing Financial Fraud Across Different Jurisdictions with Fully Homomorphic Encryption
1970-01-01 01/01/1970 January 1, 70

FPF-Portal-Basic-User-Guide
[…] The homepage displays the latest activity from not only your current working group communities, but all FPF communities you are able to join. In the center activity feed, you will see recent community discussions, announcements, library resources, and event details. Use the filter feature in the right corner of the activity feed to switch […]

2025 Trends in U.S. State AI Legislation: Preview of FPF Legislative Report
This Preview highlights key findings from FPF’s forthcoming report “2025 U.S. State AI Legislation: An Examination of State Approaches to AI,” which provides a data-driven snapshot of enacted and key AI bills affecting the private sector, organizes activity into distinct approaches, and helps stakeholders understand emerging trends and obligations. As AI technologies rapidly integrate […]

Center for Artificial Intelligence
Emerging Law AI Governance AI Networking FPF Spotlight Artificial Intelligence, U.S. Legislation September 17, 2025 By: Daniel Berrick, Stacey Gray Concepts in AI Governance: Personality vs. Personalization Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to users’ preferences, behaviors, and virtual and physical environments. These […]

Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
[…] repeat customers who sign up for the program. In return, the company receives additional customer data. Dynamic pricing: Rapidly changing the price of a particular product or service based on real-time analysis of market conditions and consumer behavior. Consumer segmentation or profiling: A profile is created for a customer based on their personal data, […]

Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
[…] under the umbrella of data-driven pricing, following the release in early 2025 of the Federal Trade Commission’s preliminary insights of a 6(b) study of what the Commission called “surveillance pricing.” Using a variety of terms—including “surveillance,” “algorithmic,” and “dynamic” pricing—legislators are targeting a range of data-driven pricing practices that often look different from one […]

Key Dates for State Privacy Laws
[…] new chapter for data privacy protections in the United States has commenced as more than twenty recently enacted significant state privacy laws have taken effect by July 1, 2025. To assist stakeholders in tracking the emerging state privacy landscape, the Future of Privacy Forum has prepared a resource listing key dates for state privacy […]

–FPF– Key Dates Chart v1.6
[…] fo r Bro ad Sta te Priv a cy La w s As of Ju ly 10 , 20 25 N ote : La w s are org an iz e d ch ro no lo g ic a lly by eff ectiv e date s, no t by sta te (h e nce […]

Tech to Support Older Adults and Caregivers: Five Privacy Questions for Age Tech
Introduction As the U.S. population ages, technologies that can help support older adults are becoming increasingly important. These tools, often called “AgeTech”, exist at the intersection of health data, consumer technology, caregiving relationships, and increasingly, artificial intelligence, and are drawing significant investment. Hundreds of well funded start-ups have launched. Many are of major interest […]