Red Lines under the EU AI Act: Understanding Manipulative Techniques and the Exploitation of Vulnerabilities
Blog 2 | Red Lines under the EU AI Act Series This blog is the second of a series that explores prohibited AI practices under the EU AI Act and their interplay with existing EU law. You can read the first episode here and find the whole series here. Harmful manipulation and deception through AI systems […]
From Proposal to Passage: Enacted U.S. AI Laws, 2023–2025
Over the past three years, lawmakers across the United States have increasingly enacted AI-related laws that shape the development and deployment of AI systems. Between 2023 and 2025, the Future of Privacy Forum tracked 27 pieces of enacted AI-related legislation across 14 states, along with one federal law (the TAKE IT DOWN Act) that carry […]
FPF Retrospective: U.S. Privacy Enforcement in 2025
The U.S. privacy law landscape continues to mature as new laws go into effect, cure periods expire, and regulators interpret the law through enforcement actions and guidance. State attorneys general and the Federal Trade Commission act as the country’s de facto privacy regulators, regularly bringing enforcement actions under legal authorities both old and new. For […]
2026: A Year at the Crossroads for Global Data Protection and Privacy
There are three forces twirling and swirling to create a perfect storm for global data protection and privacy this year: the surprise reopening of the General Data Protection Regulation (GDPR) which will largely play out in Brussels over the following months, the complexity and velocity of AI developments, and the push and pull over the […]
6 Privacy Tips for the Generative AI Era
Data Privacy Day, or Data Protection Day in Europe, is recognized annually on January 28 to mark the anniversary of Convention 108, the first binding international treaty to protect personal data. The Council of Europe initiated the day in 2006, with the first official celebration held on January 28, 2007, marking this year as the […]
Data Privacy Day 2026
Data Privacy Day (or Data Protection Day in Europe) is held annually on January 28, a day to internationally promote best practices surrounding consumer privacy and data protection. The Council of Europe initiated the day in 2006, with the first official celebration held on January 28, 2007, marking this year as the 19th anniversary of […]
Brussels Privacy Symposium 2025 Report
This year’s Brussels Privacy Symposium, held on 14 October 2025, brought together stakeholders from across Europe and beyond for a conversation about the GDPR’s role within the EU’s evolving digital framework. Co-organized jointly by the Future of Privacy Forum and the Brussels Privacy Hub of the Vrije Universiteit Brussel, the ninth edition convened experts from […]
FPF 2026 Sponsorship Prospectus
SPONSORSHIP PROSPECTUS 2026 1 FPF SPONSORSHIP PROSPECTUS 2026 The Future of Privacy Forum (FPF) is a global non-profit organization that brings together industry, academics, civil society, policymakers, and other stakeholders to explore the challenges posed by technological innovation and develop privacy protections, ethical norms, and workable business practices. We provide a global platform for senior […]
FPF Year in Review 2025
Co-authored by FPF Communications Intern Celeste Valentino with contributions from FPF Global Communications Manager Joana Bala This year, FPF continued to broaden its footprint across priority areas of data governance, further expanding activities across a range of cross-sector topics, including AI, Youth, Conflict of Laws, AgeTech (seniors), and Cyber-Security. We have engaged extensively at the local […]
Five Big Questions (and Zero Predictions) for the U.S. Privacy and AI Landscape in 2026
Introduction For better or worse, the U.S. is heading into 2026 under a familiar backdrop: no comprehensive federal privacy law, plenty of federal rumblings, and state legislators showing no signs of slowing down. What has changed is just how intertwined privacy, youth, and AI policy debates have become, whether the issue is sensitive data, data-driven […]