2026 SRI Graduate Symposium

2026 SRI Graduate Symposium

Overview

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


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?

Map

Agenda

Registration & Breakfast

Panel 1: AI, Society, and Human Behaviour

Break

Organized by
Report this event

More events from Schwartz Reisman Institute

Discover more events from Schwartz Reisman Institute, from Science & Tech to other experiences you might love.

Still looking for the right event?

Explore all events in Toronto and filter by date, category, and more to find the perfect fit.