I’m sharing a public, audit-ready framework for non-decision-making AI governance. The core idea is simple: remove interpretation from the machine and anchor systems on structural constraints—traceability, stop-conditions, human sovereignty, and opposability by third parties.

This is not a model, not a product, and not a policy pitch. It’s a procedural corpus designed to be read, tested, challenged, and reused without delegation of decision power.

Full corpus (open, citable, DOI): https://zenodo.org/records/18190262

I’m interested in feedback from people working on AI safety, compliance, audits, or governance who think structure should dominate interpretation.