AI Assurance & Governance Summit 2026- Stanford

In the span of a single product cycle, AI has moved from novelty to infrastructure. It now underwrites credit, reads diagnostic images, screens job candidates, routes capital, and defends networks — making consequential decisions at a scale and speed no human review process was ever designed to check. Yet our ability to prove these systems are accurate, fair, secure, and worthy of trust has not kept pace with how fast we are deploying them. That gap — between what AI can do and what we can verify, govern, and stand behind — has quietly become the defining risk of the decade. It is where regulators are converging, where boards now carry liability, where enterprise deals stall, and where reputations are won or lost in a single headline. AI assurance and governance is no longer a compliance footnote; it is the foundation on which the entire AI economy will either earn public trust or forfeit it. This summit convenes the people deciding which way that goes. Agenda:https://trustmodel.ai/summit2026/agenda Speakers:https://trustmodel.ai/summit2026