Events
We’re investigating the role of technology in society, the needs of our communities, and the systems that govern them.
Upcoming events:
Our events programming is currently paused until Fall 2026. Explore SRI’s YouTube channel to view recordings of past events.
Past events:
On May 13, 2026, the Schwartz Reisman Institute for Technology and Society will host an in-person dialogue led by SRI Faculty Affiliate and associate professor of book and media studies at the University of Toronto, Paolo Granata.
An annual academic conference hosted by the Schwartz Reisman Institute for Technology and Society, Absolutely Interdisciplinary convenes leading thinkers from a rich variety of fields to engage in conversations that encourage innovation and inspire new insights.
Organized by SRI’s 2025–26 graduate fellows, this workshop explores how increasingly capable AI systems reshape responsibility, authority, and governance across technical, institutional, and societal domains. Bringing together researchers, practitioners, and emerging scholars, the program moves from current approaches to trustworthy AI, to questions of expertise and governance, to long-term futures shaped by increasingly autonomous systems.
Join us for this in-person event as the Seeking Alignment panel brings together scholars working in the study of religion, history of science, media theory, and computer science to consider how the religious pasts of AI shape the foretelling of its future.
How are large language models reshaping the study of human language itself? Join Kyle Mahowald (University of Texas at Austin) as he shows how filtered pretraining and mechanistic interpretability experiments can illuminate linguistic structure—offering fresh insights into how humans process language and why these models may be genuinely informative for core questions in linguistics.
How can advanced AI systems reason, coordinate, and act responsibly in complex social settings? Join University of Toronto incoming assistant professor and Max Planck Institute research scientist Zhijing Jin for a high-level exploration of large language models, causal reasoning, and the foundations of responsible and trustworthy AI.
Join us for this in-person event as Karen Hao draws on her global reporting and insider access to discuss the implications of AI’s rapid deployment, the erosion of democratic norms, and the need to rethink how we design, govern, and distribute AI systems to support ongoing policy and public interest efforts aimed at ensuring AI benefits society broadly.
Join us for an in-person conversation with Bruce Schneier and Blaise Agüera y Arcas on cooperation, complexity, and the future of intelligence.
What happens when AI begins to take on the roles—and responsibilities—of persons? Join Google DeepMind senior staff research scientist and visiting King’s College London professor Joel Z. Leibo for a pragmatic examination of AI personhood, exploring how flexible bundles of rights and obligations can help societies govern emerging AI agents without settling intractable debates about consciousness or mind.
How can groups of intelligent systems learn to make decisions together? Join University of Waterloo professor and Google DeepMind research scientist Kate Larson for a high-level exploration of cooperation, collective decision-making, and the algorithmic foundations that shape how multi-agent AI systems interact, coordinate, and reach shared outcomes.
How can multi-agent systems enhance fairness and accountability in critical healthcare decisions? Join U of T’s Mamatha Bhat as she explores how multi-agentic AI could transform liver transplant selection by integrating clinical, ethical, and psychosocial reasoning—offering a transparent, data-driven approach that supports equitable and objective patient care.
What does it mean to design systems we can truly trust? Join SRI Visiting Senior Policy Fellow Bruce Schneier for a timely exploration of integrous systems design—why integrity has become the defining challenge of modern cybersecurity, and what it will take to build resilient digital systems, from AI agents to critical infrastructure, in the age of integrity.