FPF Launches Major Initiative to Study Economic and Policy Implications of AgeTech
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 […]
FPF and OneTrust publish the Updated Guide on Conformity Assessments under the EU AI Act
The Future of Privacy Forum (FPF) and OneTrust have published an updated version of their Conformity Assessments under the EU AI Act: A Step-by-Step Guide, along with an accompanying Infographic. This updated Guide reflects the text of the EU Artificial Intelligence Act (EU AIA), adopted in 2024. Conformity Assessments (CAs) play a significant role in […]
South Korea’s New AI Framework Act: A Balancing Act Between Innovation and Regulation
On 21 January 2025, South Korea became the first jurisdiction in the Asia-Pacific (APAC) region to adopt comprehensive artificial intelligence (AI) legislation. Taking effect on 22 January 2026, the Framework Act on Artificial Intelligence Development and Establishment of a Foundation for Trustworthiness (AI Framework Act or simply, Act) introduces specific obligations for “high-impact” AI systems […]
Little Rock, Minor Rights: Arkansas Leads with COPPA 2.0-Inspired Law
With thanks to Daniel Hales and Keir Lamont for their contributions. Shortly before the close of its 2025 session, the Arkansas legislature passed HB 1717, the Arkansas Children and Teens’ Online Privacy Protection Act, with unanimous votes. As the name suggests, Arkansas modeled this legislation after Senator Markey’s federal “COPPA 2.0” proposal, which passed the […]
Minding Mindful Machines: AI Agents and Data Protection Considerations
We are now in 2025, the year of AI agents. Leading large language model (LLM) developers (including OpenAI, Google, Anthropic) have released early versions of technologies described as “AI agents.” Unlike earlier automated systems and even LLMs, these systems go beyond previous technology by having autonomy over how to achieve complex, multi-step tasks, such as […]
Potential Harms And Mitigation Practices for Automated Decision-making and Generative AI
FPF has updated our 2017 resource (“Distilling the Harms of Automated Decision-making”) with the goal of identifying and categorizing a broad range of potential harms that may result from automated decision-making, including heightened harms related to generative AI (GenAI), and potential mitigation practices. FPF reviewed leading books, articles, and other literature on the topic of […]