Uniformity
Ensuring consistent application of policies, controls, and standards across all AI systems to avoid governance gaps or uneven risk management.
Definition
A central governance goal to apply the same data-privacy, security, fairness, and quality standards to every AI initiative—regardless of business unit or geography. Uniformity is achieved via global policies, shared tooling (common CI/CD pipelines, audit dashboards), and regular cross-team audits to detect deviations. Documented exceptions require formal approvals and must include compensating controls to maintain overall risk posture.
Real-World Example
A multinational bank standardizes its AI CI/CD templates to include built-in privacy-scans, bias-checks, and security tests. Every team must use these templates, ensuring uniform controls across all AI projects. Quarterly audits verify adherence and flag any custom pipelines for immediate remediation.
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