A new Radical Talks podcast episode features Geoffrey Hinton and Google Chief Scientist Jeff Dean in a live conversation recorded at NeurIPS 2025, reflecting on the past, present, and future of artificial intelligence—alongside the announcement of the new Hinton Chair at the University of Toronto.

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.

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.

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.

SRI Chair David Duvenaud shares reflections from the Post-AGI workshop, highlighting the value of diverse perspectives and the challenges of envisioning post-AGI trajectories.

SRI Director David Lie and collaborators have discovered a security flaw in AMD’s cloud protection technology, revealing how interactions between hardware and software can expose sensitive data.

SRI Chair David Duvenaud’s op-ed in The Guardian explores the impact of AI on human relevance and suggests strategies for adapting to ensure we aren't outpaced in every area of society.

Can AI unlock the hidden rules of our DNA and revolutionize medicine? SRI Graduate Fellows Micaela Elisa Consens and Ben Li explore this question in a new commentary examining the potential of genomic language models to transform biomedical research.

As the SRI community navigates the evolving landscape of artificial intelligence (AI), a critical question remains at the forefront: How can AI be not only effective but also safe and aligned with human values?