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.
Find details and registration here.
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, Rotman School of Management and School of the Environment
