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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Geoffrey Hinton awarded Queen Elizabeth Prize for Engineering

Schwartz Reisman Institute Advisory Board member Geoffrey Hinton has been awarded the 2025 Queen Elizabeth Prize for Engineering, recognizing his pioneering contributions to the development of modern machine learning and artificial intelligence. Presented by King Charles III at St James’s Palace, the honour celebrates Hinton’s lifelong impact on both the science and societal understanding of AI.

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Hinton and Li headline Who’s Afraid of AI? conference on the futures of intelligence

AI visionaries Geoffrey Hinton and Fei-Fei Li headlined Who’s Afraid of AI?, a landmark University of Toronto conference exploring how artificial intelligence is reshaping culture, creativity, and collective imagination. Presented in part by the Schwartz Reisman Institute, the event brought together artists, technologists, and scholars to envision more human-centered futures of intelligence.

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The big picture of dangerous capability evaluations: David Duvenaud at the Seminar Series

How can we stay in control when AI systems surpass human intelligence? In a recent SRI Seminar, Schwartz Reisman Chair David Duvenaud explored the frontier of AI safety, alignment, and governance, introducing new research on “dangerous capability” evaluations and control protocols designed to detect when AI models become too powerful to oversee.

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