Solo Talk · Oversight: AI Explainability Governance & Model Risk

Govern the System, Not the Technology: Programmatic AI Oversight for Speed and Compliance

· Lando Ballroom 4203

About this session

AI is not just a technology transformation. It is a management transformation, and it demands a fundamental change in how organizations govern. Yet most organizations are responding with the wrong model: forming committees, assigning working groups, and layering review processes on top of existing structures. This is the Committee Fallacy: the assumption that oversight means assembling people to discuss AI, rather than building a governance system that ensures the right decisions are made by the right people, at the right time, with the right information.The committee-driven approach fails on every front that matters. It does not deliver the acceleration the business needs. It does not drive the cultural change the moment demands. And it does not protect against the legal and regulatory oversight obligations that are already taking shape.Regulators and courts are already treating AI as a governance obligation, not a technology issue. Director oversight duties are being tested under Caremark liability doctrine. The EU AI Act imposes compliance requirements with enforceable deadlines. U.S. state legislatures have introduced hundreds of AI-related bills, and federal regulators are signaling enforcement through existing authority. Organizations without a structured governance program are not just moving slowly; they are accumulating unmanaged legal and regulatory exposure with every AI deployment.This session introduces a different discipline: programmatic AI oversight governance. Rather than asking who should sit on a committee, programmatic governance applies the Informed Decision Standard: defining what must be governed, who is accountable, and what information decision-makers need to act with both speed and defensibility. Built on the AI Governance Maturity Model developed by the AI RegRisk Think Tank, this framework treats governance as the mechanism that enables acceleration, embeds accountability into the operating model, and builds defensible compliance against the regulatory landscape already in motion.Attendees will leave with a diagnostic lens for identifying whether their current governance model is actually governing or merely convening, a clear picture of the legal and regulatory obligations bearing down on boards and senior leadership, and a practical framework for building governance that increases decision velocity rather than impeding it. This session is designed for board directors, C-suite executives, chief risk officers, general counsel, and anyone responsible for ensuring their organization moves fast on AI without accumulating indefensible risk.

Speakers

Tracks

  • Oversight: AI Explainability

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