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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 […]
Future of Privacy Forum Honors Julie Brill with Lifetime Achievement Award
[…] and legal implications of data use, identify the risks, and develop appropriate protections. FPF believes technology and data can benefit society and improve lives if the right laws, policies, and rules are in place. FPF has offices in Washington D.C., Brussels, Singapore, and Tel Aviv. Follow FPF on X and LinkedIn. dsc 0482 img 3659
“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 […]
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 […]
“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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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). […]