FPF ANPR Comment 10 17_submitted
1 1350 Eye Street NW, Suite 350, Washin gton, DC 20005 | 202 -768 -8950 | fpf.org October 17 , 202 5 Via Electronic Submission Acting Director Russell Vought Consumer Financial Protection Bureau 1700 G Street, NW Washington, DC 20552 Re: Comments on Personal Financial Data Rights Reconsideration (Docket No. CFPB – 202 5–0037 ) […]
Rethinking Personal Data: The CJEU’s Contextual Turn in EDPS vs. SRB
Author: Cédric Burton The following is a guest post to the FPF blog authored by Cédric Burton, Partner and Global Co-Chair Data, Privacy and Cybersecurity, Wilson Sonsini Brussels. The guest post reflects the opinion of the author only and does not necessarily reflect the position or views of FPF and our stakeholder communities. FPF provides […]
FPF_CCPA Regulations Issue Brief
Comparison Chart: Risk Assessment (DPIA) Requirements in California, Colorado, and the EU California Colorado EU FPF Analysis: CA v. CO References California Consumer Privacy Act (CCPA) Cal. Civ. Code § 1798.185, subd. (a)(15) Colorado Privacy Act (CPA) Colo. Rev. Stat. § 6-1-1309 General Data Protection Regulation (GDPR) Article 35 This comparison chart focuses on the […]
Call for Nominations: 16th Annual Privacy Papers for Policymakers Awards
The 16th Privacy Papers for Policymakers call for submissions is now open until October 30, 2025. FPF’s Privacy Papers for Policymakers Award recognizes leading privacy research and analytical scholarship relevant to policymakers in the U.S. and internationally. The award highlights important work that analyzes current and emerging privacy issues and proposes achievable short-term solutions or […]
“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 […]
“Personality vs. Personalization” in AI Systems: Specific Uses and Concrete Risks (Part 2)
This post is the second in a multi-part series on personality versus personalization in AI systems, providing an overview of these concepts and their use cases, concrete risks, legal considerations, and potential risk management for each category. The previous post provided an introduction to personality versus personalization. In AI governance and public policy, the many […]
FPF-Portal-Basic-User-Guide
FPF Portal Basic User Guide FPF Portal Login The FPF Portal is accessible to FPF Members via engage.fpf.org/ login . To login for the first time, click “Reset Password” and enter your email address. Then click “Send Password Link”. You will receive an email from the FPF Membership Team via Future of Privacy Forum <[email protected] […]
Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
Data-driven pricing: A set of practices that use personal and/or non-personal data to routinely inform decisions about the prices and products offered to consumers, often for the purpose of price personalization. State lawmakers in the U.S. are seeking to regulate various pricing strategies that fall under the umbrella of data-driven pricing, following the release in […]
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 […]
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 […]