Non-decision-making AI governance with internal audit and stop conditions

I’m publishing an operational governance framework for complex systems and AI that explicitly do not make decisions.

Core principles:
– human sovereignty
– non-decision invariants
– explicit stop conditions
– internal auditability
– structural traceability

This is not a scientific metric or a benchmark.
It’s a living operational system designed to prevent cognitive, institutional, and interpretative drift, while remaining compatible with existing normative frameworks.

Use cases: governance, audit, compliance, independent research.
Explicit exclusions: medical decision-making, normative automation, direct clinical use.

DOI: https://doi.org/10.5281/zenodo.18190262