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“Personality vs. Personalization” in AI Systems: Intersection with Evolving U.S. Law (Part 3)
[…] a Utah user’s input to customize how an advertisement is presented to the user, determine whether to display an advertisement to the user, or determine a product/ service to advertise to the user;Suppliers must ensure that the chatbot divulges that it is AI and not a human in certain contexts (e.g., before the user […]
“Personality vs. Personalization” in AI Systems: Specific Uses and Concrete Risks (Part 2)
[…] lead to more intimate inferences. Systems with agentic capabilities that act on user preferences (e.g., shopping assistants) may have access to tools (e.g., querying databases, making API calls, interacting with web browsers, and accessing file systems) enabling them to obtain more real-time information about individuals. For example, some agents may take screenshots of the […]
Vice President of U.S. Policy
[…] of FPF Meet with FPF members, and our broader stakeholder community, to advise, consult and garner feedback on priority issues. Oversee development and execution of FPF community calls Policy Analysis and Engagement (app. 10% of time) Lead or coordinate on novel areas of interest and relevance to FPF Conduct, oversee, or contribute to new […]
AI Regulation in Latin America: Overview and Emerging Trends in Key Proposals
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“Personality vs. Personalization” in AI Systems: An Introduction (Part 1)
[…] and responds directly.” “Release Notes – System Prompts – Claude Opus 4,” May 22, 2025, Anthropic Google “ersonalization allows Gemini to connect with your Google apps and services, starting with Search, to provide responses that are uniquely insightful and directly address your needs.” “Gemini gets personal, with tailored help from your Google apps,” Mar. […]
AI Regulation in Latin America: Overview and Emerging Trends in Key Proposals
[…] least ten criteria2 for the classification of high-risk systems, such as whether the system unlawfully or abusively produces legal effects that impair access to public or essential services, whether it lacks transparency, explainability, auditability which would impair oversight, or whether it endangers human health –physical, mental or social, either individually or collectively. Meanwhile, the […]
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 […]
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 […]
Event Report – FPF July 2025 Roundtable
[…] 0 A bou t FP F T he Fu tu re of Priv a cy Fo ru m (F P F) is a no n-p ro fit org an iz a tio n th at se rv e s as a ca ta ly st fo r priv a cy l e ad ers […]
A Price to Pay: U.S. Lawmaker Efforts to Regulate Algorithmic and Data-Driven Pricing
[…] practices that use large amounts of data and algorithms to routinely inform decisions about the prices and products offered to consumers. These bills—targeting what this analysis collectively calls “data-driven pricing”—follow the Federal Trade Commission (FTC)’s 2024 announcement that it was conducting a 6(b) investigation to study how firms are engaging in so-called “surveillance pricing,” […]