
Future of Privacy Forum Honors Julie Brill with Lifetime Achievement Award
Washington, D.C. – September 12, 2025 — The Future of Privacy Forum, a global non-profit focused on data protection, AI and emerging technologies today announced that it has honored Julie Brill with its Lifetime Achievement Award. The award recognizes Brill’s decades of leadership and profound impact on the fields of consumer protection, data protection and […]

“Personality vs. Personalization” in AI Systems: Intersection with Evolving U.S. Law (Part 3)
This post is the third in a series on personality versus personality in AI systems. Read Part 1 (exploring concepts) and Part 2 (concrete uses and risks). 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 […]

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 […]

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 […]

Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
In the U.S., state lawmakers are seeking to regulate various pricing strategies that fall under the umbrella of “data-driven pricing”: practices that use personal and/or non-personal data to continuously inform decisions about the prices and products offered to consumers. Using a variety of terms—including “surveillance,” “algorithmic,” and “personalized” pricing—legislators are targeting a range of practices […]

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 to […]

Nature of Data in Pre-Trained Large Language Models
The following is a guest post to the FPF blog by Yeong Zee Kin, the Chief Executive of the Singapore Academy of Law and FPF Senior Fellow. The guest blog reflects the opinion of the author only. Guest blog posts do not necessarily reflect the views of FPF. The phenomenon of memorisation has fomented significant […]

The Connecticut Data Privacy Act Gets an Overhaul (Again)
Co-Authored by Gia Kim, FPF U.S. Policy Intern On June 25, Governor Ned Lamont signed SB 1295, amending the Connecticut Data Privacy Act (CTDPA). True to its namesake as the “Land of Steady Habits,” Connecticut is developing the habit of amending the CTDPA. Connecticut has long been ahead of the curve, especially when it comes […]

Brazil’s ANPD Preliminary Study on Generative AI highlights the dual nature of data protection law: balancing rights with technological innovation
Brazil’s Autoridade Nacional de Proteção de Dados (“ANPD”) Technology and Research Unit (“CGTP”) released the preliminary study Inteligência Artificial Generativa (“Preliminary Study on GenAI”, in Portuguese) as part of its Technological Radar series, on November 29, 2024. A short English version of the study was also released by the agency in December 2024. This analysis […]