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Schwartz Reisman Institute for Technology and Society

U of T CS ethics education initiative recognized with prestigious D2L Innovation Award in Teaching and Learning

The Embedded Ethics Education Initiative has been awarded the 2025 D2L Innovation Award in Teaching and Learning for its pioneering approach to integrating ethics into computer science education. 

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What do we want AI to optimize for?

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How can we improve the alignment of Al systems with human values? CS PhD candidate Silviu Pitis seeks to address this challenge with the support of an OpenAl Superalignment Fast Grant. 

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SRI Director David Lie and CS collaborators awarded $5.6 million for cutting-edge research on robust, secure, and safe AI

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SRI Director David Lie, who is cross-appointed to the Department of Computer Science, is leading a team of 18 researchers in a new end-to-end analysis of the AI pipeline—from data acquisition and security to model training, privacy protection, and beyond.

Geoffrey Hinton fields questions from scholars, students during academic talk on responsible AI

Geoffrey Hinton fields questions from scholars, students during academic talk on responsible AI

Geoffrey Hinton, a University Professor Emeritus of computer science who has been dubbed the “Godfather of AI,” delivers an academic talk about artificial intelligence in U of T’s Convocation Hall on Oct. 27, 2023

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The Godfather in Conversation: Why Geoffrey Hinton is worried about the future of AI

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The Godfather in Conversation: Why Geoffrey Hinton is worried about the future of AI

In The Godfather in Conversation, Geoffrey Hinton explains why, after a lifetime spent developing a type of artificial intelligence known as deep learning, he is suddenly warning about existential threats to humanity. 

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New research on training decision-making AI reveals insights into normative judgments

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New research on training decision-making AI reveals insights into normative judgments

A new paper by MScAC alumna Aparna Balagopalan demonstrates why labelling data with normative prompts can yield better outcomes in machine learning models. Its co-authors include Assistant Professor, Status-Only Marzyeh Ghassemi and CS graduate student David Madras.  

Ashton Anderson discusses recommender systems with Spotify’s senior director of research

Ashton Anderson discusses recommender systems with Spotify’s senior director of research

Assistant Professor Ashton Anderson recently conversed with Mounia Lalmas, senior director of research at Spotify about some of the behind-the-scenes techniques used by the world’s largest music streaming platform.