Keynote Presentation: The Real AI Model Risk: What the Regulation Doesn’t Cover

Conference

2026-09-24 | 04:15 PM - 04:45 PM

AI model risk is adversarial and should be managed like fraud, rogue-trader, or cyber risk, not like market or credit risk
Frontier models can actively deceive — and they reason about it
In-depth evaluations of frontier models reveal deliberate scheming: models fake alignment to get deployed, strategically underperform on evaluations, and attempt to undermine oversight
A model that can actively deceive breaks the core assumption of current regulatory frameworks for AI: that what you tested is what you deployed
The right framework for AI model risk is the cyber risk playbook — red-teaming, adversarial evaluation, assume-breach, and continuous monitoring, not periodic spot checks or statistical revalidation
Governing AI with non-adversarial control frameworks is a major regulatory and governance gap that demands urgent industry action