The structured process of review, approval, and accountability for AI development and deployment, typically involving cross-functional governance bodies.
A multi-phase governance mechanism: project proposal review, risk and ethics assessment, security and compliance sign-off, and post-deployment audits. Oversight bodies (AI councils, ethics boards) apply standardized criteria, maintain decision logs, and escalate unresolved issues. Governance workflows define roles, approval SLAs, and documentation standards to ensure transparent accountability at each stage.
A social-media company’s AI Ethics Board reviews every new content-recommendation algorithm. Teams submit impact assessments, ethics checklists, and test results. The board approves only after confirming alignment with community-safety policies, logging its decision and conditions for deployment in the corporate governance portal.
