A formal document that codifies rules, roles, and procedures for AI development and oversight within an organization.
A written, binding directive - approved by senior leadership - that outlines permissible AI activities, approval criteria for new projects, incident-reporting protocols, and enforcement mechanisms. Policies are version-controlled, published to all stakeholders, and integrated into training programs. They serve as the legal basis for governance enforcement and are periodically reviewed for relevance.
A telecom operator’s AI Governance Policy mandates: all customer-facing AI must pass bias and privacy assessments, developers must complete ethics training, and any data breach triggers a 24-hour incident-report. The policy is distributed to all data-science teams and enforced via automated pipeline checks.
