2026 SRI Graduate Symposium
Join us to explore how increasingly capable AI systems reshape human behaviour, governance, health systems, knowledge production, and more!
The 2026 SRI Graduate Symposium brings together a cohort of emerging scholars from across the University of Toronto to showcase cutting-edge research at the intersection of AI and society. Spanning computer science, law, public health, psychology, management, information studies, and the humanities, the symposium reflects the Schwartz Reisman Institute’s commitment to interdisciplinary inquiry and real-world impact.
Across five thematic panels, SRI graduate fellows will present research exploring how AI is reshaping human behaviour, governance, health systems, knowledge production, and culture. From the design of empathic and socially responsive AI systems, to the legal and regulatory frameworks that govern them, to applications in clinical decision-making and public health, the program highlights both the transformative potential of AI and the urgent challenges it raises. The symposium also foregrounds questions of equity and justice, examining whose knowledge is represented in AI systems and how frameworks rooted in relational and community-based perspectives can inform responsible design. It concludes by looking ahead to the future of work and creativity, addressing how AI is reconfiguring professional environments, cultural production, and human–machine collaboration.
Designed to foster dialogue across disciplines and perspectives, this event offers a snapshot of the next generation of AI and society research—grounded in technical innovation, informed by social and ethical analysis, and oriented toward building more trustworthy, inclusive, and accountable AI systems.
Venue and registration
Schwartz Reisman Innovation Campus, Collaborative Learning Space (W240), Second Floor, 108 College. St., Toronto, ON, M5G 0C6
- Online participation via Zoom (link sent to registrants).
- Registration is free to attend. In-person registration is limited.
Speakers
- Leif Anderson, PhD student, Department of Psychology
- Sara Bocchinfuso, Master’s student, Institute of Health Policy, Management & Evaluation
- Marco Germanò, SJD candidate, Faculty of Law
- Md Arid Hasan, PhD student, Department of Computer Science
- Sophia Jit, PhD student, Department of Computer Science
- Dariia Kucheruk, PhD student, Department of Computer Science
- Patrick Yung Kang Lee, PhD student, Department of Computer Science
- Azhagu Meena, PhD student, Faculty of Information
- Shawn Meikle, PhD candidate, Centre for Industrial Relations & Human Resources
- Rowan O.A. Munson, PhD student, Faculty of Information
- Gemma Postill, MD/PhD candidate, Institute of Health Policy, Management & Evaluation
- Benjamin Pulver, PhD candidate, Graduate Department of Art History
- Frieda Rong, PhD student, Department of Computer Science
- Tracy Zhang, PhD candidate, Graduate Department of Pharmaceutical Sciences
- Xingjian (Ken) Zhang, PhD candidate, Joseph L. Rotman School of Management
Moderators
- Miron J. Clay-Gilmore, postdoctoral fellow, Institute for the History and Philosophy of Science and Technology
- Ilya Grishchenko, postdoctoral fellow, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering
For more information of the programme, visit our website here.
Good to know
Highlights
- 8 hours
- In person
Location
U of T: Schwartz Reisman Innovation Campus
108 College Street
Toronto, ON M5G 0C6
How do you want to get there?
