Harriet Pearson
Anne Bradley
“Personality vs. Personalization” in AI Systems: Responsible Design and Risk Management (Part 4)
This post is the fourth and final blog post in a series on personality versus personalization in AI systems. Read Part 1 (exploring concepts), Part 2 (concrete uses and risks), and Part 3 (intersection with U.S. law). Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to […]
AI Regulation in Latin America: Overview and Emerging Trends in Key Proposals
The widespread adoption of artificial intelligence (AI) continues to impact societies and economies around the world. Policymakers worldwide have begun pushing for normative frameworks to regulate the design, deployment, and use of AI according to their specific ethical and legal standards. In Latin America, some countries have joined these efforts by introducing legislative proposals and […]
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 […]
FPF at PDP Week 2025: Generative AI, Digital Trust, and the Future of Cross-Border Data Transfers in APAC
Authors: Darren Ang Wei Cheng and James Jerin Akash (FPF APAC Interns) From July 7 to 10, 2025, the Future of Privacy Forum (FPF)’s Asia-Pacific (APAC) office was actively engaged in Singapore’s Personal Data Protection Week 2025 (PDP Week) – a week of events hosted by the Personal Data Protection Commission of Singapore (PDPC) at […]
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 […]
Practical Takeaways from FPF’s Privacy Enhancing Technologies Workshop
In April, the Future of Privacy Forum and the Mozilla Foundation hosted an all-day workshop with technology, legal, and policy experts to explore Privacy Enhancing Technologies (PETs). During the workshop, multiple companies presented technologies they developed and implemented to preserve individuals’ privacy. In addition, the participants discussed steps for broadening the adoption of these technologies […]
Malaysia Charts Its Digital Course: A Guide to the New Frameworks for Data Protection and AI Ethics
The digital landscape in Malaysia is undergoing a significant transformation. With major amendments to its Personal Data Protection Act (PDPA) taking effect in June 2025, the country is decisively updating its data protection standards to meet the demands of the global digital economy. This modernization effort is complemented by a forward-looking approach to artificial intelligence […]
Understanding Japan’s AI Promotion Act: An “Innovation-First” Blueprint for AI Regulation
The global landscape of artificial intelligence (AI) is being reshaped not only by rapid technological advancement but also by a worldwide push to establish new regulatory regimes. In a landmark move, on May 28, 2025, Japan’s Parliament approved the “Act on the Promotion of Research and Development and the Utilization of AI-Related Technologies” (人工知能関連技術の研究開発及び活用の推進に関する法律案要綱) (AI […]