Webinar 55: Personalization vs. Privacy: Mapping How AI Systems Use What They Learn

Описание: Webinar 55: February 24, 2026, 10:00am EST

AI developers increasingly design systems to remember user data, preferences, and past interactions. In doing so, these systems can deliver more personalized and detailed experiences. However, this strategy raises urgent questions about privacy, autonomy, human security, and accountability. Recently, the Center for Democracy & Technology’s AI Governance Lab released a report mapping the emerging landscape of AI systems and how they are designed to remember and act on personal data. Miranda Bogen, and her co-author, Ruchika Joshi, argue that decisions made now will determine whether AI memory strengthens trust and user control or entrenches privacy and other. Please join us as we discuss the report!

Read the full report here.

Other recommended readings here.

Speaker:

Miranda Bogen, Director, CDT AI Governance Lab

Discussant:

Matthew Reisman, Vice President, U.S. Policy, Future of Privacy Forum

Organizer:

Michael Moreno, AI and Data Governance Research Associate, Digital Trade and Data Governance Hub, NSF-NIST Trustworthy AI Institute for Law and Society

Moderator:

Dr. Susan Aaronson, Founder and Director, Digital Trade and Data Governance Hub, co-PI, Governance, NSF-NIST Trustworthy AI Institute for Law and Society, Senior fellow at Centre for International Governance Innovation (CIGI)