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.

Despite the growing use of ChatGPT, we lack a method to evaluate its performance and potential risks. SRI Associate Director Lisa Austin, Faculty Fellow Shion Guha, and Faculty Affiliates Anastasia Kuzminykh and Shurui Zhou are setting out to study and analyze the impact of generative AI on a wide range of communities. Learn more about "Toward a Fair and Inclusive Future of Work with ChatGPT."

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?

SRI Director David Lie and 18 collaborators—including five other SRI researchers— will receive $5.6 million in grants over the next four years to develop solutions for critical artificial intelligence (AI) challenges. Learn more about the new funding from NSERC and CSE.

Get to know the 15 new faculty affiliates joining the SRI research community for the 2024–25 academic year. The new cohort of affiliates has expertise in a variety of fields across social sciences, humanities, and STEM disciplines, including geography, psychology, information studies, management, criminology, sociology, history, cultural studies, public health, physiology, pharmaceutical sciences, computer science, and engineering.

World-leading computer security expert David Lie will take on the role of the Schwartz Reisman Institute for Technology and Society’s (SRI) director, while two renowned AI safety experts—Roger Grosse and David Duvenaud—are being appointed Schwartz Reisman Chairs in Technology and Society.

The Schwartz Reisman Institute for Technology and Society is proud to welcome four new faculty fellows and 15 graduate fellows from across the University of Toronto. SRI fellowships support interdisciplinary research projects that build new approaches to examine the complex relations between technology and society.

SRI Faculty Affiliate Nicolas Papernot is using a protocol borrowed from cryptography to develop a technical framework in preparation for possible AI regulation. For this multidisciplinary collaborative project that also includes SRI researcher Lisa Austin, Papernot received an AI2050 Schmidt Sciences Early Career fellowship.

A new report report shares findings on opinions about artificial intelligence (AI) in 21 countries. GPO-AI reveals varying, diverse and region-specific attitudes about the use of artificial intelligence, and topics of focus in the survey include job loss, deepfakes, and state regulation. The project was led by SRI Associate Director Peter Loewen, and features contributions from SRI Graduate Fellow Blake Lee-Whiting.

SRI Research Lead Beth Coleman and SRI Faculty Affiliate Rahul Krishnan are co-hosts of the new podcast “What Now? AI”. Coleman and Krishnan explore—and demystify—artificial intelligence and its impact on society with the help of leading experts. Guests include Gillian Hadfield, Roger Grosse, Christine Allen, and Andrew Pinto.

The Stanford Institute for Human-Centered Artificial Intelligence (HAI) has released their 7th annual AI Index, and this year’s edition includes data from a joint project by SRI and the Policy, Elections and Representation Lab (PEARL) at the Munk School of Global Affairs & Public Policy. The Stanford Index is considered one of the most trusted and widely-read indices about the state of AI in the world.

When new technologies enter the world, they must earn trust. How can we create trust in artificial intelligence? A new report from the Certification Working Group (CWG) explores the necessary elements of an ecosystem that can deliver effective certification to support AI that is responsible, trustworthy, ethical, and fair.