Most AI ethics boards are advisory. They review proposals, offer recommendations, and publish reports that the organization is free to ignore. This is governance by suggestion, and it does not work.
An effective AI Ethics Review Board needs structural authority, diverse composition, and operational integration into the AI development lifecycle.
Authority Structure
The EIAF requires that the Ethics Review Board have binding authority over Tier 3-4 AI deployments. Not advisory input. Not consultative review. Binding authority, meaning the board can approve, require modifications, or reject deployments.
This authority must be codified in organizational governance documents, not granted informally. Informal authority evaporates under business pressure. Formal authority creates institutional accountability that survives personnel changes and priority shifts.
Composition
Homogeneous boards produce homogeneous oversight. The EIAF recommends a minimum of five members with mandatory representation from technical AI expertise, legal and compliance, affected stakeholder communities, domain expertise for the deployment context, and ethics or philosophy.
External members are essential. Internal boards develop organizational blind spots. At least two members should be independent of the organization, bringing perspectives unconstrained by corporate culture and incentive structures.
Operational Integration
A board that meets quarterly and reviews completed projects is not providing governance. It is providing post-hoc rationalization. The Ethics Review Board must be integrated into the development lifecycle at defined checkpoints: design review before development begins, validation review before deployment, and periodic review of production systems.
The board must have access to the AI system registry, monitoring dashboards, incident reports, and contestability outcomes. Governance without information is guesswork.
Measuring Effectiveness
The EIAF defines governance metrics that the board should track: number of reviews conducted, modifications required, deployments rejected, incidents detected post-deployment, contestability outcomes, and time-to-resolution for ethical concerns. A board that approves everything is not governing. A board that rejects everything is obstructing. The metrics provide the feedback loop for calibrating effective oversight.