
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 […]

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
[…] are central to building trust in the AI era, including regulatory governance, privacy, responsible AI, and data governance and use strategy. She advised Microsoft’s top executives and customers about some of the most important strategic geopolitical issues facing businesses today. At the FTC, Julie helped drive the broad agenda of one of the world’s […]

“Personality vs. Personalization” in AI Systems: Responsible Design and Risk Management (Part 4)
[…] to reflect a user’s preferences and characteristics. For example, when a person onboards to an AI companion experience, it may prompt the new user to connect the service to other accounts and answer “tell me about yourself” questions. The experience may then generate an AI companion that has the personality of a US president […]

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 Division […]

“Personality vs. Personalization” in AI Systems: Intersection with Evolving U.S. Law (Part 3)
[…] that Section 5 of the FTC Act may apply when AI companies make misrepresentations about data processing activities, including “promises made by companies that they won’t use customer data for secret purposes, such as to train or update their models—be it directly or through workarounds.” These statements are backed up by the Commission’s history […]

“Personality vs. Personalization” in AI Systems: Specific Uses and Concrete Risks (Part 2)
[…] deep connection with a user to continue, the user, who has become dependent on the system for emotional support, empathy, understanding, and loyalty, may continue their chatbot service subscription; Privacy infringements: A system that emulates human qualities (e.g., emotional intelligence and empathy) can reduce users’ concerns about privacy infringements. The anthropomorphisation these characteristics engender […]

Vice President of U.S. Policy
General Overview FPF is seeking a senior tech policy expert with significant expertise in data protection and AI governance to lead its U.S. policy workstreams. FPF is a global non-profit organization that convenes corporate leaders, academics, civil society, regulators, and policymakers to collaborate on data protection and technology initiatives that have real world consumer impact […]