Events Schwartz Reisman Institute Events Schwartz Reisman Institute

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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Events, Commentary Schwartz Reisman Institute Events, Commentary Schwartz Reisman Institute

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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Announcement, Solutions Alicia Demanuele Announcement, Solutions Alicia Demanuele

Future Votes: Safeguarding elections in the digital age

In October 2024, the SRI co-hosted a half-day event with The Dais and Rogers Cybersecure Catalyst to address election integrity, cyber security, and disinformation in the age of AI. The result was The Future Votes report, a reflection of key insights and recommendations for policymakers on how we can practically protect our democratic elections.

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Research Schwartz Reisman Institute Research Schwartz Reisman Institute

AI agents pose new governance challenges

How do we successfully govern AI systems that can act autonomously online, making decisions with minimal human oversight? SRI Faculty Affiliate Noam Kolt explores this challenge, highlighting the rise of AI agents, their risks, and the urgent need for transparency, safety testing, and regulatory oversight.

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Research Schwartz Reisman Institute Research Schwartz Reisman Institute

Safeguarding the future: Evaluating sabotage risks in powerful AI systems

As AI systems grow more powerful, ensuring their safe development is critical. A recent paper led by David Duvenaud with contributions from Roger Grosse introduces new methods to evaluate AI sabotage risks, providing insights into preventing advanced models from undermining oversight, masking harmful behaviors, or disrupting human decision-making.

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