What roles are necessary for effective AI governance?

• A. Executive managers, AI officers, AI steering committees, IT development teams, and governance committees
• B. Only CIO
• C. Marketing team
• D. External consultants only

Answer: (A)

AI governance works best when there is a cross-functional structure that covers strategy, policy, oversight, and hands-on implementation. Executive managers provide strategic sponsorship and ensure governance aligns with business objectives and risk appetite. An AI officer, such as a Chief AI Officer, creates and enforces policies and standards, establishing clear accountability across AI initiatives. An AI steering committee brings together leaders from business, risk, compliance, and technology to review proposals, weigh benefits and risks, and approve projects. IT development teams implement and deploy AI systems within secure development practices, data governance, and lifecycle management. Governance committees monitor compliance, conduct audits, manage incidents, and drive continuous improvement. This combination creates the necessary accountability, transparency, and controls for responsible AI use. Relying on a single role, a marketing team, or external consultants alone cannot provide the full scope of governance needed.