WHAT’S HAPPENING

Here’s what we’re thinking about, talking about, and working on at the Schwartz Reisman Institute.

Research Schwartz Reisman Institute Research Schwartz Reisman Institute

From Toronto to Seoul: SRI researchers at ICML 2026

SRI researchers are heading to Seoul this July for ICML 2026, and they're arriving with a lot to share. Across 16 papers, six position papers, and a co-organized workshop, 15 members of our community are presenting work spanning machine learning theory, AI safety, clinical AI, legal compliance, and more.

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Research Schwartz Reisman Institute Research Schwartz Reisman Institute

SRI researchers present work at ACM FAccT 2026

SRI researchers will present 13 accepted papers and one workshop session at FAccT 2026, showcasing the Institute’s research in responsible AI, algorithmic governance, alignment, privacy, and the impacts of socio-technical systems.

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Research Cynthia Macdonald Research Cynthia Macdonald

Can chatbots help close the youth voting knowledge gap?

Can AI-powered chatbots help young voters better understand politics? SRI Faculty Fellow Semra Sevi and her colleagues tested an interactive voting advice chatbot with nearly 2,900 politically unaffiliated voters under 35—and found significant gains in political knowledge, even if party loyalty remained unchanged.

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Commentary David Lie and Bruce Schneier Commentary David Lie and Bruce Schneier

The Mythos question: Who decides when AI is too dangerous?

Last week, Anthropic pulled back the curtain on Claude Mythos Preview, an AI model so capable at finding and exploiting software vulnerabilities that the company decided it was too dangerous to release to the public. In a new op-ed, SRI Director David Lie and Visiting Fellow Bruce Schneier discuss the implications.

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Events Schwartz Reisman Institute Events Schwartz Reisman Institute

Karen Hao explores power, accountability, and the future of AI

As part of the CBC Ideas series, the Schwartz Reisman Institute welcomed journalist Karen Hao to the University of Toronto to discuss the political economy of AI development, the need for stronger accountability, and the importance of building alternative, less resource-intensive approaches to AI systems.

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