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Concepts in AI Governance_ Personality vs. Personalization
[…] ca st of ch a ra cte rs – a ll wit h uniq ue back sto rie s.” ” I n tr o d ucin g New A I Exp erie nce s Acro ss Our Fa m ily of Apps and D evic e s , ” Sep t. 27, 20 23, […]
Harriet Pearson
“Personality vs. Personalization” in AI Systems: Responsible Design and Risk Management (Part 4)
[…] to giving users insight into whether a chatbot provider may use data gathered to enable personalization features for model training purposes. Chatbot and companions’ conversational interfaces create new opportunities for users to understand what data is gathered about them, for what purposes, and take actions that can have legal effects (e.g., requesting that data […]
Comments regarding draft regulations for implementing the New Jersey Data Privacy Act (NJDPA)
On August 28th, FPF provided comments regarding draft regulations for implementing the New Jersey Data Privacy Act (“NJDPA”). FPF seeks to support balanced, informed public policy and equip regulators with the resources and tools needed to craft effective regulation. In response to the Agency’s public comment on the proposed rules, FPF recommends that the […]
Future of Privacy Forum – New Jersey Rulemaking Comments
[…] 45 0 27 N ew ark , NJ 0710 1 R E: Pro p ose d ru le s to im ple m en t th e New Je rs e y Data Priv a cy Act D ear Actin g Dir e cto r Fais , T han k yo u fo r […]
“Personality vs. Personalization” in AI Systems: Intersection with Evolving U.S. Law (Part 3)
[…] in connection with these users may implicate specific adolescent privacy protections. For example, several states have passed or modified their existing comprehensive data privacy laws to impose new opt-in requirements, rights, and obligations on organizations processing children or teen’s data (e.g., imposing new impact assessment requirements and duties of care). Legislators have also advanced […]
“Personality vs. Personalization” in AI Systems: Specific Uses and Concrete Risks (Part 2)
[…] with human preferences, can contribute to sycophancy by causing systems to strive for user satisfaction and positivity rather than confront delusional behavior. While technology-driven loneliness is not new, sycophantic AI companions and chatbots can contribute to a decline in the user’s mental wellbeing (e.g., suicidal ideation) and the disintegration of friendships, romantic relationships, and […]
Vice President of U.S. Policy
[…] 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 research Internal Coordination, Operations, and Support (app. 20% of time) Ensure members of the U.S. Policy Team are coordinating with one another and other teams Ensure […]
AI Regulation in Latin America: Overview and Emerging Trends in Key Proposals
[…] protection of fundamental rights and using AI for economic and societal progress; (iii) have a strong preference for ex ante, risk-based regulation; (iv) introduce institutional multistakeholder frameworks for AI governance, either by creating new agencies or assigning responsibility to existing ones, and (v) have specific provisions for responsible innovation and controlled testing of AI technologies.
“Personality vs. Personalization” in AI Systems: An Introduction (Part 1)
[…] more intelligent features,” May 14, 2024, Google Meta “You can tell Meta AI to remember certain things about you (like that you love to travel and learn new language), and it can also pick up important details based on context. For example, let’s say you’re hungry for breakfast and ask Meta AI for some […]