
Absolutely Interdisciplinary returns this spring to explore new frontiers in AI research
The Schwartz Reisman Institute’s annual academic conference Absolutely Interdisciplinary returns for 2025 to explore interdisciplinary approaches to AI governance, risk and safety.
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.
Roger Grosse and Marzyeh Ghassemi awarded AI2050 fellowships to advance research on beneficial AI
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.
Innovating care: Exploring the role of AI in Ontario’s health sector
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.
Making big leaps with small models: What are small language models and super tiny language models?
The size of language models significantly impacts their adoption and usage. SRI Policy researcher Jamie A. Sandhu explores how small models are making big impacts in the field of AI.
From mourning to machine: Griefbots, human dignity, and AI regulation
Griefbots are artificial intelligence programs designed to mimic deceased individuals by using their digital footprint. Griefbots raise significant concerns about data collection and implications to human dignity. This article explores the digital afterlife industry and the ethical and legal challenges it presents, including a consideration of health, privacy, and property laws in Canada.
Schwartz Reisman Institute announces new faculty affiliates for 2024-25
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.
Schwartz Reisman Institute announces 2024 fellowship recipients
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’s annual conference, Absolutely Interdisciplinary, returns in May of 2024
The Schwartz Reisman Institute’s annual academic conference will take place May 6–8, 2024, with select sessions taking place in the newly-completed Schwartz Reisman Innovation Campus located in the heart of Toronto’s Discovery District. Speakers include: Peter Railton, Harper Reed, Huili Chen, Ray Perrault, Gillian Hadfield, and more.
SRI faculty fellows advance interdisciplinary research on the social impacts of AI
The Schwartz Reisman Institute’s 2021–23 faculty fellows explored the social implications of new technologies, foregrounding the significance of ethics, equity, and human-centred values. Learn more about their research projects and how to apply for Schwartz Reisman fellowships.
Luke Stark appointed inaugural SRI Scholar-in-Residence
Luke Stark, an assistant professor at Western University, has been appointed as the inaugural Schwartz Reisman Scholar-in-Residence. Stark’s work interrogates the historical, social, and ethical impacts of computing and artificial intelligence technologies, particularly those mediating social and emotional expression.
Transforming diabetes care: SRI researchers secure $900K grant for AI prediction and prevention network
A new AI-powered solutions network for predicting and preventing diabetes developed by SRI researchers Laura Rosella, Jennifer Gibson, and Shion Guha has received $900K in funding from CIFAR’s AI for Health Solution Networks grant program.