Announcement, Research Schwartz Reisman Institute Announcement, Research Schwartz Reisman Institute

SRI Seminar Series continues in fall 2025 with leading voices on technology and society

The Schwartz Reisman Institute is proud to announce its SRI Seminar Series programming for Fall 2025. This semester, an extraordinary lineup of scholars, technologists, and legal thinkers will examine urgent issues at the intersection of technology, governance, and society. Through thought-provoking presentations of new research and ideas, the series will explore topics ranging from the ethics of artificial intelligence (AI) in education and the creative industries, to the governance of advanced AI systems, to the social and political dynamics of democratic engagement in the digital age.

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Announcement, Research Schwartz Reisman Institute Announcement, Research Schwartz Reisman Institute

Schwartz Reisman Institute welcomes 24 new faculty affiliates for 2025–26

The Schwartz Reisman Institute for Technology and Society (SRI) is pleased to announce the appointment of 24 new faculty affiliates for the 2025–26 academic year—its largest incoming cohort to date. Representing a broad range of disciplinary backgrounds, the new affiliates bring deep expertise in artificial intelligence (AI), data science, public policy, digital culture, healthcare, ethics, law, sustainability, and education.

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Research Andrea Wiseman Research Andrea Wiseman

University of Toronto team discovers vulnerability at hardware-software boundary in cloud systems

David Lie, director of SRI, Gururaj Saileshwar, assistant professor in the Department of Computer Science, and Yuqin Yan a student at the Department of Electrical & Computer Engineering, discovered a security flaw in AMD’s cloud protection technology, revealing how interactions between hardware and software can expose sensitive data.

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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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Unequal outcomes: Tackling bias in clinical AI models

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.

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