When Decisions and Executions are performed under Machine-Readable Governance, they produce Outcomes. Governance, however, is not complete or permanently fixed once it has been transformed into Machine-Readable form. Real-world Operation may reveal Problems, new Risks, Unexpected Behavior, or Contexts that existing Policy does not adequately address.

Evidence generated through Execution and Outcomes is continuously Observed / Monitored, Detected, and Evaluated through AI Vigilance. AI Vigilance examines not only individual AI Behavior, but also accumulated Evidence to identify Patterns and Changes that may constitute a Governance-Relevant Finding requiring Governance Review.

A Governance-Relevant Finding indicates that existing Governance may require reconsideration. Examples include repeated Problems, previously unanticipated Contexts, Thresholds or Evaluation Criteria that fail to capture actual Risk adequately, or persistent Gaps between Policy Requirements and Outcomes.

However, AI Vigilance and AI Systems do not themselves rewrite Governance. Governance-Relevant Findings are submitted with supporting Evidence to the Competent Governance Authority. The Governance Authority reviews the Finding and determines whether existing Governance should be maintained, Clarified, Modified, or supplemented.

Where change is required, it proceeds through an Authorized Governance Process. The updated Governance is then Translated / Validated by the Translation Hub into Machine-Readable Structure and connected back to the System as Updated Machine-Readable Governance.

New Decisions and Executions then occur under the updated Governance, generating further Outcomes and Execution Evidence that return to AI Vigilance.

The Feedback Loop therefore becomes:

Execution → Outcome / Evidence → AI Vigilance → Observe / Detect / Evaluate / Analyze → Governance-Relevant Finding → Competent Governance Authority → Review / Authorized Update → Translation Hub → Updated Machine-Readable Governance → Decision / Execution

The critical principle is the separation of Learning from Authority.

Evidence can generate Learning.Vigilance can identify Patterns, Changes, and Problems.But Learning or a Finding does not itself confer Authority to modify Policy.

Governance may be changed only by an entity with legitimate Authority to make that change, through an Authorized Governance Process.