FPF Submits Comments in Response to the Federal Trade Commission (FTC)’s Advanced Notice of Proposed Rulemaking (ANPRM)
The Future of Privacy Forum (FPF) welcomes the opportunity to submit comments in response to the Federal Trade Commission (FTC)’s Advanced Notice of Proposed Rulemaking (ANPRM) to address “unfair” or “deceptive” practices involving fees for online food retail and food delivery platforms.1 FPF is a global non-profit organization dedicated to advancing principled and pragmatic data […]
The Rest of the West: Oregon and Washington Build on California Chatbot Law
The West Coast now has a full set of chatbot laws on the books. Following California’s SB 243 (signed in 2025 and effective January 1, 2026) both Oregon (SB 1546) and Washington (HB 2225) enacted companion chatbot laws that will take effect on January 1, 2027. Together, these laws establish a new framework for regulating […]
The Chatbot Moment: Mapping the Emerging 2026 U.S. Chatbot Legislative Landscape
Special thanks to Rafal Fryc, U.S. Legislation Intern, for his research and development of the resources referenced. FPF developed two one-pager resources summarizing key trends in chatbot legislation. The first highlights some of the definitional patterns beginning to appear, identifying eleven legislative frameworks used to define chatbots. The second maps the six most common regulatory […]
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 direct […]
The RAISE Act vs. SB 53: A Tale of Two Frontier AI Laws
On December 19, New York Governor Hochul (D) signed the Responsible AI Safety and Education (RAISE) Act, ending months of uncertainty after the bill passed the legislature in June and making New York the second state to enact a statute specifically focused on frontier artificial intelligence (AI) safety and transparency. Sponsored by Assemblymember Bores (D) […]
Concepts in AI Governance: Personality vs. Personalization
Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to users’ preferences, behaviors, and virtual and physical environments. These range from general purpose LLMs, to the rapidly growing market for LLM-powered AI companions, educational aides, and corporate assistants. There are clear trends among this overall focus: towards […]
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 […]
Highlights from FPF’s July 2025 Technologist Roundtable: AI Unlearning and Technical Guardrails
On July 17, 2025, the Future of Privacy Forum (FPF) hosted the second in a series of Technologist Roundtables with the goal of convening an open dialogue on complex technical questions that impact law and policy, and assisting global data protection and privacy policymakers in understanding the relevant technical basics of large language models (LLMs). […]
The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
As of halfway through 2025, four U.S. states have enacted laws regarding “neural data” or “neurotechnology data.” These laws, all of which amend existing state privacy laws, signify growing lawmaker interest in regulating what’s being considered a distinct, particularly sensitive kind of data: information about people’s thoughts, feelings, and mental activity. Created in response to […]
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 […]
