In April 2024, the Schwartz Reisman Institute for Technology and Society (SRI) hosted a workshop that brought together 33 high-level experts to explore the viability of regulatory markets. Over the course of the workshop, participants identified key challenges and worked through practical steps to move from theory to operationalization, laying the groundwork for a clear roadmap toward future governance. Their findings are captured in a new report (PDF) published today by SRI.

The Schwartz Reisman Institute for Technology and Society is proud to announce the appointment of fifteen new graduate fellows from across the University of Toronto.

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.

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.

The Schwartz Reisman Institute for Technology and Society (SRI) hosted a roundtable discussion on February 11, 2025, as part of the official side events at the AI Action Summit in Paris centered on insights from an upcoming SRI paper, Trust in Human-Machine Learning Interactions: A Multifaceted Approach, led by SRI Research Lead Beth Coleman.

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?

The Schwartz Reisman Institute’s annual academic conference Absolutely Interdisciplinary returns for 2025 to explore interdisciplinary approaches to AI governance, risk and safety.

In the wake of AIDA’s death and with a federal election on the horizon, a key question has emerged: what’s next for Canada after AIDA?

A new study by SRI Graduate Affiliate Michael Colacci sheds light on the frequency of biased outcomes when machine learning algorithms are used in healthcare contexts, advocating for more comprehensive and standardized approaches to evaluating bias in clinical AI.

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.

The Schwartz Reisman Institute for Technology and Society (SRI) is thrilled to welcome eight new faculty affiliates and three new postdoctoral fellows to its vibrant research community.

The SRI Seminar Series returns for 2025 with leading experts exploring AI’s impacts from a wide range of disciplines, including computer science, psychology, law, philosophy, and communication.