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

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.

Schmidt Sciences has named SRI Chair Roger Grosse and Faculty Affiliate Marzyeh Ghassemi to its 2024 cohort of AI2050 Fellows. The program funds senior researchers and early career scholars to address a wide range of global challenges in AI.

The Schwartz Reisman Institute for Technology and Society has launched its call for graduate fellows, open to all University of Toronto graduate students whose research explores the social impacts of new technologies.

A recent hackathon and symposium co-sponsored by SRI and U of T's Data Sciences Institute explored new ways of using large language models responsibly, with students and faculty receiving training on how to design efficient, interdisciplinary solutions to promote responsible AI usage.

What opportunities and challenges are there for the use of AI in healthcare? At a recent SRI workshop, experts explored how AI is transforming Ontario's healthcare sector, highlighting its potential to improve care and exploring pressing challenges around patient involvement, health equity, and trustworthy implementation.

SRI researcher Silviu Pitis draws on decision theory to study how the principles of reward design for reinforcement learning agents are formulated. He also aims to understand how large language models make decisions by examining their implicit assumptions. Pitis has received a prestigious OpenAI Superalignment Fast Grant to support his research.

What does safe artificial intelligence look like? Could AI go rogue and pose an existential threat to humanity? These were among the pressing questions tackled by SRI experts during a recent panel discussion on AI safety.

For the third consecutive year, the Schwartz Reisman Institute of Technology and Society opened its doors to a select group of Juris Doctor (JD) students through its summer Research Assistant (RA) program. Learn more about this year's research projects and how our RA partnership with the Future of Law Lab has opened new insights and experiences for students interested in AI governance.

A new report from SRI Research Lead Beth Coleman, SRI Graduate Fellow Madison Mackley, and collaborators explores questions such as: How can we facilitate data-sharing across divisions to improve public policy and service delivery? What are the risks of data-sharing, how can we mitigate those risks, and what are the potential benefits of doing it right?