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FPF Privacy Papers for Policymakers: Impactful Privacy and AI Scholarship for a Digital Future
FPF recently concluded its 16th Annual Privacy Papers for Policymakers (PPPM) events, hosting two dynamic virtual ceremonies on March 4 and March 11, 2026. This year’s program centered on the most pressing areas in privacy and AI governance, bringing together global awardees to discuss their research with leading discussants from industry, academia, and civil society. […]
Africa’s Data Protection Reforms: A Continental Perspective on the Drivers of Change in Legal Frameworks
[…] European Union, which introduced a simplification package to reduce regulatory burdens and boost competitiveness; the UK, which finalized reforms to its data protection framework through the Data Use and Access Act (2025); and South Korea, which continues to explore legal reforms to its data protection law to facilitate the development of AI, data protection […]
The Chatbot Moment: Mapping the Emerging 2026 U.S. Chatbot Legislative Landscape
[…] 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 provisions appearing across chatbot bills. With these resources, we explore two central questions shaping the […]
The Chatbot Moment: Mapping the Emerging 2026 U.S. Chatbot Legislative Landscape
[…] 452), and Maine (LD 1727). Other laws enacted in 2025, such as Illinois (HB 1806) and Nevada (AB 406), did not define chatbots directly but regulate the use of AI systems, including chatbots, in the delivery of licensed mental or behavioral health services.1 Even with this activity in 2025, the scale of legislative interest […]
Common Chatbot Provisions — Future of Privacy Forum (5)
[…] ( C A , H I , N M ). 4 Pr ofessional Licensur e & Regulat ed Ser vices (Health) Provisions would restrict or prohibit the use of AI chatbots to provide services that are traditionally regulated through professional licensure, particularly mental and behavioral healthcare. Rather than regulating chatbots broadly, these laws focus […]
Red Lines under the EU AI Act: Unpacking the Prohibition of Individual Risk Assessment for the Prediction of Criminal Offences
[…] III, point 6, letter (d) AI Act). The provision does not entirely outlaw crime prediction and risk assessment practices but, rather, imposes specific conditions under which the use of certain AI systems in specific contexts shall be prohibited. The Guidelines clarify that the three cumulative conditions all have to be met simultaneously, creating a […]
Red Lines under the EU AI Act: Unpacking Social Scoring as a Prohibited AI Practice
[…] (EDPB) and European Data Protection Supervisor (EDPS) welcomed the intention to ban social scoring in their Joint Opinion 5/2021 on the AI Act proposal, warning that “the use of AI for ‘social scoring’… can lead to discrimination and is against the EU fundamental values”. Since then, the EDPB and national DPAs have continued to […]
Digital Digest: FPF’s Annual Privacy Papers for Policymakers
[…] and Power in the Model Context Protocol (MCP) Era New America Available here: https://www.newamerica.org/oti/briefs/ai-agents-and-memory/ Executive Summary This policy brief examines how AI agents — autonomous systems that use the Model Context Protocol (MCP) to connect across applications – will reshape the boundaries of privacy, security, and governance. By standardizing how AI systems access external […]
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-Age-Assurance-v2.0
[…] is in the 16+ age bracket. Parental Vouching: Miles’ parent (who has been verified as an Adult) confirms that Miles is 16. VERIFICATION, INFERENCE AND VOUCHING EXAMPLE USE CASE Miles starts by providing a self-asserted birthdate (Age Declaration). This low-assurance method allows entry to the main game. DECLARATION INITIAL EXPERIENCE SECONDARY FEATURE GREATER ASSURANCE […]