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The State of State AI 2025
[…] Beyond disclosure and safety, some bills experimented with accountability measures tied to privacy and advertising . Utah’s SB 452 (enacted), for example, prohibits mental health chatbots from promoting products during conversations unless clearly labeled as advertising. California’s AB 1064 (enrolled) initially highlighted concerns about how personal data from chatbot interactions w ith youth may […]

Call for Nominations: 16th Annual Privacy Papers for Policymakers Awards
[…] or means of analysis that have the potential to lead to real-world policy solutions. More information on the award and submission requirements can be found here. FPF welcomes privacy scholars, researchers, and students to submit completed papers focusing on privacy or AI governance, specifically emphasizing data protection, and be relevant to policymakers in this […]

Asia-Pacific Office Internship (FPF APAC)
[…] be a need at times to participate in meetings, events or calls that take place in the evening or night (Singapore Time). What we look for We welcome undergraduate students (preferably in the second year of studies onwards), as well as any graduate-level academic or professional background (typically, this includes law students, MA/MBA, PhD […]

“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
[…] the OECD’s AI Principles, focused on transparency, security, and responsibility of AI systems, and to UNESCO’s AI Ethics Recommendation, which emphasizes the need for a human-centered approach, promoting social justice and environmental sustainability in AI systems. All bills reviewed ground the development of AI in privacy or data protection as a guiding principle to […]

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Comparative Table – AI Bills in Latin American Countries
Comparative Table: AI Bills in Latin American Countries Country Guiding Principles AI-Related Rights Risk-Based Approach Risk Assessments AI Authority Promotion of Innovation Argentina 5 ✅ 5 guiding principles, including human collaboration and oversight ❌ None explicitly covered ✅ -Minimal or No Risk -Limited Risk -High-Risk -Unacceptable AI ✅ ‘Pre-market impact assessment’ after registration in […]

Privacy Enhancing Technologies Workshop Proceedings
[…] I S SU E BRIE F: U .S . PO LIC Y ○ Queries persist for a maximum of 2 minutes before dissolving (the key point and bonus feature of this process/tech is that it is not permanent), which aligns with the spirit of data localization requirements. How do you weigh the benefit of […]