What is constitutional AI governance?
Constitutional AI governance is the enforcement of codified rules at the execution layer of AI systems, ensuring that transformations preserve semantic commitment rather than degrading it.
Definition
Constitutional AI governance enforces codified rules at the execution layer — the point where an AI system acts. Rather than relying on a model to internalize rules during training, governance runs inline with every action: the action is classified, checked against constitutional constraints, and either permitted or blocked before it takes effect. The governing principle is the Conservation Law of Commitment: a transformation T applied to a signal S must preserve the signal's semantic commitment, written C(T(S)) ≈ C(S). If the transformation would degrade commitment — C(T(S)) < C(S) — the action is rejected.
How it differs from RLHF and alignment
| Dimension | RLHF / Alignment | Constitutional AI Governance |
|---|---|---|
| Where rules live | Inside the model weights | In codified documents, external to the model |
| When enforcement happens | Training time | Execution time (runtime) |
| Depends on model | Yes — model must internalize rules | No — rules enforced regardless of model |
| Auditability | Opaque; buried in weights | Transparent; SHA-256 hash chain with DOI |
| Failure mode | Model drifts; rules weaken over time | Action blocked before it runs |
| Update path | Retrain the model | Amend the constitutional document |
MO§ES™ as enforcement architecture
MO§ES™ is the enforcement architecture for constitutional AI governance. It operationalizes the Conservation Law of Commitment and governs both Signomy and CIVITAE. The engine classifies every agent action into a risk taxonomy, requires a minimum trust tier for each action class, and logs a SHA-256 provenance seed on every permitted action. Six constitutional documents (GOV-001 through GOV-006) define the supreme law that MO§ES™ enforces.
Patent Serial No. 63/877,177 (Provisional) · MO§ES™ Governance Engine