Public AI Seminar

A research seminar to study public AI and other forms of public interest AI.

Season 2

Season 2 will run through August and September.

If you are interested in joining the seminar, please apply here by July 1, 2024.

Season 1

  • January 9: Public options for AI, with Bruce Schneier (Harvard) - Video, Summary
  • January 16: Public policy for tech, with Diane Coyle (Cambridge) - Video, Summary
  • January 23: Case study: AuroraGPT & BritGPT, with Rick Stevens (Chicago / Argonne National Labs) and Hannah O‚ÄôRourke (Labour Longterm) - Video, Summary
  • January 30: Break
  • February 6: The politics of AI, with Julia Angwin (New York Times / Harvard) - Video, Summary
  • February 13: Industrial organization and antimonopoly, with Ganesh Sitaraman (Vanderbilt) - Video, Summary
  • February 20: Lessons from digital public infrastructure, with David Eaves (UCL) - Video, Summary
  • February 27: AI and democracy, with Lawrence Lessig (Harvard) - Video, Summary
  • March 5: Synthesis


  • Organizers: Joshua Tan (Oxford, Metagov), SJ Klein (Berkman, Interlace), Alex Krasodomski (Chatham House), Nick Garcia (Public Knowledge)
  • Format: the seminar is invite-only. The first half of the seminar, reserved for invited talks, is recorded via Zoom and posted online. Notes from the entire seminar will be summarized without named attribution under the Chatham House rule.
  • Meeting times: every Tuesday from 11am - 1pm ET over Zoom.
  • Recordings and notes will be posted online at