AI & Machine Learning

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 […]

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 […]

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 […]

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 […]

FPF hosted its second annual DC Privacy Forum: Governance for Digital Leadership and Innovation on Wednesday, June 11. Staying true to the theme, this year’s forum convened key government, civil society, academic, and corporate privacy leaders for a day of critical discussions on privacy and AI policy. Gathering an audience of over 250 leaders from […]

By FPF Communications Intern Celeste Valentino Earlier this month, FPF participated at the IAPP’s annual Global Privacy Summit (GPS)  at the Convention Center in Washington, D.C. The Summit convened top privacy professionals for a week of expert workshops, engaging panel discussions, and exciting networking opportunities on issues ranging from understanding U.S. state and global privacy […]

On May 7, 2025, the Future of Privacy Forum (FPF) hosted a “Deploying AI Systems” workshop at the Privacy + Security Academy’s Spring Academy, which took place at The George Washington University in Washington, DC. Workshop participants included students and privacy lawyers from firms, companies, data protection authorities, and regulatory agencies around the world. The […]

FPF and University of Arizona Eller College of Management Awarded Grant by Alfred P. Sloan Foundation to Address Privacy Implications, and Data Uses of Technologies Aimed at Aging At Home The Future of Privacy Forum (FPF) — a global non-profit focused on data protection, AI and emerging technologies–has been awarded a grant from the Alfred […]

With the close of Utah’s short legislative session, the Beehive State is once again an early mover in U.S. tech policy. In March, Governor Cox signed several bills related to the governance of generative Artificial Intelligence systems into law. Among them, SB 332 and SB 226 amend Utah’s 2024 Artificial Intelligence Policy Act (AIPA) while […]

To highlight the wide range of current use cases for Artificial Intelligence (AI) in education and future possibilities and constraints, the Future of Privacy Forum (FPF) today released a new infographic, Artificial Intelligence in Education: Key Concepts and Uses. While generative AI tools that can write essays, generate and alter images, and engage with students […]