AI is rapidly transforming sectors from healthcare and education to infrastructure and security. As these systems quietly integrate into our daily lives, we’re expected to trust their decisions. But trust in AI isn’t just technical — it’s about the context in which they are trained, how they fit into real-world workflows and how they shape human choices.
What does it really mean to trust a machine?
This social, ethical and technical question challenges how we design intelligent systems, how we interact with them and how they shape us in return. And perhaps most importantly: is trust even the right goal?
Join leading thinkers for a bold conversation on building AI that’s transparent, accountable and aligned with human values. Explore the implications of explainability, security, responsible design and the future of trust in the age of digital intelligence.
Because building trustworthy AI isn’t just about making it better and faster— it’s about shaping a future where we can all thrive.
This is a Disruptors and Dilemmas speaker series event.
This event is co-hosted by: University of Toronto Faculty of Applied Science & Engineering, Faculty of Arts & Science and Rotman School of Management.
About the speakers
Professor Deepa Kundur
(BASc ’93, MASc '95, PhD '99)
Professor and Chair,
The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto
Assistant Professor Karina Vold
(HBA '11)
Assistant Professor,
Institute for the History and Philosophy of Science and Technology, U of T
Member,
Periscope Research Lab
Research Lead,
Schwartz Reisman Institute for Technology and Society, U of T
Faculty Associate,
Centre for Ethics, U of T
Associate Fellow,
Leverhulme Centre for the Future of Intelligence, University of Cambridge
Catherine Bornbaum
(MBA '19)
Chief Business Officer,
RetiSpec
Our moderator
Claire Kennedy,
(BASc ’89 Chemical Engineering, Applied Science & Engineering, Hon LLD '23)
Co-chair, Defy Gravity Campaign
