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.

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.

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.

SRI Director David Lie and Co-Chair David Duvenaud were appointed to Canada’s new Safe & Secure AI Advisory Group. Their expertise will help shape policies at this crucial time in AI's development and contribute to Canada's efforts to keep these powerful technologies safe.

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.