About this Event
Organized by the Schwartz Reisman Institute for Technology and Society’s 2025–26 cohort of graduate fellows, this workshop explores how increasingly capable AI systems reshape responsibility, authority, and governance across technical, institutional, and societal domains.
Bringing together researchers, practitioners, and emerging scholars, the program moves from current approaches to trustworthy AI, to questions of expertise and governance, to long-term futures shaped by increasingly autonomous systems.
Venue & Registration
April 29, 2026 | 1:00 - 5:00 PM ET
, Multipurpose Room (W280), Second Floor
108 College. St., Toronto, ON, M5G 0C6
Hybrid online participation via Zoom (link sent to registrants).
Registration is free to attend. In-person registration is limited.
Speakers
- Rafael Grohmann, Assistant Professor, Department of Arts, Culture and Media, University of Toronto
- Zhijing Jin, Incoming Assistant Professor, Department of Computer Science, University of Toronto
- Peter Lewis, Associate Professor, Faculty of Business and Information Technology, Ontario Tech University
- Shingai Manjengwa, Senior Director, Education and Development, Talent & Ecosystem, Mila – Quebec Artificial Intelligence Institute
- Vanessa Richter, Postdoctoral Researcher, Centre for Media, Communication and Information Research, University of Bremen
- Laura Rosella, Professor, Dalla Lana School of Public Health, University of Toronto
Organizing committee
- Mai Ali, Department of Electrical & Computer Engineering, University of Toronto
- Benjamin Cookson, Department of Computer Science, University of Toronto
- Cong Yu (Emmy) Fang, Department of Computer Science, University of Toronto
- Matthew Iantorno, Faculty of Information, University of Toronto
- Rachel Katz, Institute for the History and Philosophy of Science & Technology, University of Toronto
- Kexin (Cassie) Li, Department of Electrical & Computer Engineering, University of Toronto
- Nanyu Luo, Ontario Institute for Studies in Education, University of Toronto
- Kaushar Mahetaji, Faculty of Information, University of Toronto
- David-Dan Nguyen, Institute of Health Policy, Management & Evaluation, University of Toronto
- Darsana Vijay, Faculty of Information, University of Toronto
- Lunjun Zhang, Department of Computer Science, University of Toronto
For more information of the programme, visit our website .
About the Schwartz Reisman Institute for Technology and Society
The Schwartz Reisman Institute for Technology and Society is a research institute at the University of Toronto that explores the ethical and societal implications of technology. Our mission is to deepen knowledge of technologies, societies, and humanity by integrating research across traditional boundaries to build human-centred solutions.
Our research community seeks to rethink technology’s role in society, the needs of human communities, and the systems that govern them. We are investigating how best to align technology with human values and deploy it accordingly.
Across all our activities, SRI convenes world-class expertise and diverse perspectives from universities, government, industry, and beyond to develop new modes of thinking about powerful technologies and their role in what it means to be human in the 21st century. We are defining what’s possible, determining what’s at stake, and devising implementable solutions to make sure technologies like AI are effective, safe, fair, and beneficial—for everyone.
To learn more, .
Agenda
🕑: 01:00 PM
Opening Welcome
🕑: 01:10 PM
Session 1: Responsible Development: Building Trustworthy AI Systems
🕑: 02:40 PM
Break and Poster Session
🕑: 03:10 PM
Session 2: Governing Intelligence: Expertise, Power, and AI Futures
🕑: 04:40 PM
Closing reflections
🕑: 04:45 PM
Reception and Poster Session
Event Venue & Nearby Stays
U of T: Schwartz Reisman Innovation Campus, 108 College Street, Toronto, Canada
CAD 0.00












