Post-AGI Science and Society Workshop

Location: ICLR 2026, Rio de Janeiro, Brazil

Date: April 26 or April 27, 2026


Submit your paper

Assuming AGI becomes widely available, what research remains relevant?


Forget if Artificial General Intelligence (AGI) will happen. Let’s ask the harder question:
How do we build research that stays relevant after AGI arrives?

Rather than debate timelines or hype, P-AGI calls on scientists, engineers, and thinkers to future-proof their work for a world where general-purpose AI systems are everywhere. Points of focus include:

  • How scientific discovery changes when machines generate knowledge
  • How to ensure human insight keeps pace with automated research
  • How to ensure trust and oversight in autonomous science
  • Redefining scientific contribution in a post-AGI world

P-AGI convenes researchers to define the scientific agenda for the post-AGI era. We’re bringing together some of the most forward-thinking voices in AI to explore the research agendas that will matter if and when powerful general-purpose systems become pervasive. Check out our schedule and our call for papers!

Speakers and Panelists

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Jeff Clune

University of British Columbia

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Been Kim

Google DeepMind

Organizers

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Donato Crisostomi

Sapienza University of Rome

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Andrea Santilli

Independent Researcher

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Pratyusha Sharma

Microsoft Research & NYU

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Valentina Pyatkin

Allen Institute for AI & University of Washington

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Zorah Lähner

University of Bonn

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Emanuele Rodolà

Sapienza University of Rome