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SRI Privacy Discussion Group

Who we are

The SRI Privacy Discussion Group brings together students, faculty and practitioners from computer science, engineering, law, policy, the social sciences and related fields. We explore timely questions about privacy and its connections to AI, security, governance and society.

The group offers an informal space to exchange perspectives and share work in progress. Members are welcome to suggest topics, bring early ideas, papers and practical questions, or simply join the discussion. Expertise in every area is not expected.

What we do

We create space for interdisciplinary conversations about privacy.

  • Discuss emerging issues

    We explore emerging privacy questions surrounding AI, data collection, surveillance, regulation, and other developments in technology and society.

  • Explore research

    Members share ongoing research, early-stage ideas, and new papers to receive feedback and spark discussion.

  • Connect across disciplines

    We bring technical, legal, policy, and societal perspectives to examine privacy questions from multiple angles.

What we discuss

  • AI & privacy

    Privacy challenges arising from AI, machine learning, large language models, and AI agents.

  • Data governance

    How data should be collected, used, shared, and governed.

  • Privacy law & policy

    How privacy law and regulation should respond to changing technologies.

  • Surveillance & emerging technologies

    Facial recognition, biometrics, online tracking, and new forms of data collection.

  • Data for social good

    How data can support research and public benefit while protecting privacy.

  • Emerging issues

    New research, technologies, policy proposals, and privacy issues in the news.

Browse past discussions

Upcoming discussions

We meet monthly, generally on the third Friday, from 1 to 2 p.m. ET. Our October session takes place on Friday, October 23. Meeting format and access details are provided with each invitation.

Next session

, 1–2 p.m. ET

Governing AI Companionship: Lessons from Social Media Regulation

With Yuma Wu, University of Ottawa

PhD student in law with a background in computer science.

How can social media rules help govern AI companions? Drawing on Yuma Wu’s FAccT 2026 paper, we’ll discuss harmful content, addictive design, age restrictions and gaps in current regulatory approaches.

Save the dates

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View the full schedule

Join the Privacy Discussion Group

Join the group to receive session announcements and calendar invitations. The sign-up form also lets you share your research interests and suggest a presentation or discussion topic.

Contact the organizers

For questions about joining, accessibility, presenting or suggesting a discussion topic, contact: