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To Track Or Not To Track
[…] multiple parties to collect data and compile user profiles with various degrees of identifying information. 4 The value created by online advertising, which fuels the majority of free content and services available online, has been immense. Online advertising is greatly enhanced by the ability to analyze and measure the effectiveness of ad campaigns and […]

The State of State AI 2025 SUPPLEMENTAL
[…] Senior Director of U.S. Legislation, Future of Privacy Forum AUTHORS Thanks to Bridget Egan for her research contributions. ACKNOWLEDGEMENTS All FPF materials that are released publicly are free to share and adapt with appropriate attribution. Learn more . 3 Table 1. Legislative Outcomes for State AI Bills Overview of the 210 industry-focused AI bills […]

The State of State AI 2025
[…] Senior Director of U.S. Legislation, Future of Privacy Forum AUTHORS Thanks to Bridget Egan for her research contributions. ACKNOWLEDGEMENTS All FPF materials that are released publicly are free to share and adapt with appropriate attribution. Learn more . The Future of Privacy Forum’s (FPF) report, The State of State AI: Legislative Approaches to AI […]

“Personality vs. Personalization” in AI Systems: Responsible Design and Risk Management (Part 4)
[…] including subscription-based and enterprise pricing models. As personalized AI systems increasingly replace, or are integrated into, online search, they will impact online content that has largely been free and ad-supported since the early Internet. However, it is not clear that personalized AI systems can, or should, adopt compensation strategies that follow the same historical […]

“Personality vs. Personalization” in AI Systems: Intersection with Evolving U.S. Law (Part 3)
[…] through user-generated input. For example, a 2015 claim against Snap, Inc. survived Section 230 dismissal following a claim that a specific “Speed Filter” Snapchat feature (since discontinued) promoted reckless driving. In other cases, the personalization of a system through demographic-based targeting that causes harm may also implicate tort and product liability law when organizations […]

“Personality vs. Personalization” in AI Systems: Specific Uses and Concrete Risks (Part 2)
[…] personality-like features, whether it is a specific voice mode, or a consistent persona, or even a range of “AI companions.” Even if companion-like personalities are not directly promoted as features, users can build them using system prompts and customized design; an early 2023 feature of OpenAI enabled users to create custom GPTs. Figure 3 […]

“Personality vs. Personalization” in AI Systems: An Introduction (Part 1)
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
[…] of their risk classification. For AI systems in general, Brazil’s proposal includes: The right to prior information about an interaction with an AI system, in an accessible, free of charge, and understandable format. The right to privacy and the protection of personal data, following the Lei Geral de Proteção de Dados Pessoais (LGPD) and […]

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2025 FPF Privacy Groups
PRIVACY GROUPS FPF Privacy Groups bring industry leaders together with FPF staff and experts to develop best practices, share insights, and promote pragmatic public policy solutions. Privacy Group members receive regular written updates on developments in their field. FPF members can access these privacy groups via the FPF Portal communities. For those without a […]