AI Governance in Practise: Fireside Chat with Alan Chan & Cristian Trout
Most AI governance discussions stay at the level of frameworks: who should regulate, what the EU AI Act says, and where the gaps are. This one goes to the actual mechanisms that govern AI systems we can't fully verify, deployed in environments we don't fully understand.
In this fireside chat, we'll cover:
- The verification problem: what we can and can't currently see inside AI systems, and what that changes for governance;
- Insurance as a mechanism: how AI insurance actually works, what it gets right, and what it can't fix;
- Systemic risk and AI: what cascading failures might look like, and what to do about them;
- Where they (potentially) disagree: what each of them thinks the other gets wrong;
- And more, depending on what you want to ask them!
Format
A 60-minute fireside chat. We'll have a brief introduction of the speakers. The conversation will be moderated with audience Q&A via Slido. There will be no slides and no presentation.
About the speakers
Alan Chan is a Research Fellow at GovAI, where he's worked on a variety of topics, including AI agents, transparency, and AI R&D automation. He holds a PhD in machine learning from Mila.
Cristian Trout is a former Winter Fellow from GovAI and a member of the policy staff at Artificial Intelligence Underwriting Company (AIUC), where he is working on steering the insurance market toward effective private governance of frontier AI. He holds an M.A. in Philosophy from the University of British Columbia.
Who should attend?
Designed for AI safety researchers, governance professionals, policy analysts, and anyone who wants to understand how AI is actually going to get governed in practice. No prior expertise required.
Hosted by Safe AI Germany (SAIGE). Our online events are open to everyone everywhere.