A cross-functional group (e.g., legal, ethics, technical) tasked with overseeing AI governance policies and their execution within an organization.
A formal committee - often including C-level sponsors, legal counsel, ethics experts, data scientists, and business leaders - that defines strategy, reviews high-risk projects, resolves governance escalations, and ensures alignment between policy and practice. Effective bodies meet regularly, produce public charters, and maintain decision logs for transparency.
A multinational sets up an AI Steering Committee co-chaired by the CTO and Chief Data Officer, with members from risk, compliance, and business units. They meet monthly to review all AI projects rated “high risk,” approve remediation plans for audit findings, and publish minutes to maintain stakeholder trust.
