Asia-Pacific Office Internship (FPF APAC)
The Future of Privacy Forum (“FPF”) is a non-profit organization that serves as a catalyst for privacy leadership and scholarship, advancing principled data practices in support of emerging technologies. FPF brings together industry, academics, consumer advocates, and otherthought leaders to explore the challenges posed by technological innovation and develop privacy protections, ethical norms and workable […]
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
Washington, D.C. – September 12, 2025 — The Future of Privacy Forum, a global non-profit focused on data protection, AI and emerging technologies today announced that it has honored Julie Brill with its Lifetime Achievement Award. The award recognizes Brill’s decades of leadership and profound impact on the fields of consumer protection, data protection and […]
“Personality vs. Personalization” in AI Systems: Responsible Design and Risk Management (Part 4)
This post is the fourth and final blog post in a series on personality versus personalization in AI systems. Read Part 1 (exploring concepts), Part 2 (concrete uses and risks), and Part 3 (intersection with U.S. law). Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to […]
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)
This post is the third in a series on personality versus personality in AI systems. Read Part 1 (exploring concepts) and Part 2 (concrete uses and risks). 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 […]
“Personality vs. Personalization” in AI Systems: Specific Uses and Concrete Risks (Part 2)
This post is the second in a multi-part series on personality versus personalization in AI systems, providing an overview of these concepts and their use cases, concrete risks, legal considerations, and potential risk management for each category. The previous post provided an introduction to personality versus personalization. In AI governance and public policy, the many […]