Post-AGI Science and Society Workshop

Artificial General Intelligence (AGI) has long seemed distant, but rapid advances in large-scale learning, autonomous reasoning, and open-ended discovery make its emergence increasingly plausible. The Post-AGI Science and Society Workshop asks what comes next. If AGI becomes ubiquitous, reliable, and affordable, how will it reshape scientific inquiry, the economy of knowledge, and human society? Will humans remain central to discovery or become curators and interpreters of machine-generated insights? The workshop brings together researchers from machine learning, philosophy of science, and policy to explore human-AI scientific coexistence. Topics include automated hypothesis generation, causal reasoning in AGI, collaborative discovery, epistemic alignment between humans and machines, and socio-economic shifts driven by pervasive intelligence. Through keynotes, talks, and a panel, we will examine how science and our understanding of knowledge might evolve in a post-AGI world.