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