The Algorithmic State: Sovereignty, Safety, and the Governance of Public Sector AI

This webinar brings together Dean Ball and Shu Yang Lin, two globally respected leaders in public-sector AI, to examine what serious adoption actually requires: smarter procurement, clearer accountability, stronger safeguards, deeper internal capacity, and a more practical understanding of sovereignty in a world of globally developed AI systems. The discussion will be moderated by Jaxson Khan, CEO of Aperture AI and Senior Fellow at the Munk School, whose work sits at the intersection of AI adoption, institutional readiness, and public-sector transformation.

Together, they will explore how governments can move from scattered use cases to whole-of-government capability without losing legitimacy, resilience, or democratic control: What will separate governments that merely experiment with AI from those that genuinely build capacity with it? How should democratic states procure and govern systems they may not fully build, own, or control? And what must public institutions do now to ensure that AI strengthens state capability, rather than quietly hollowing it out?

📩 Submit questions in advance to: joe.rowsell@telus.com