AI Governance OS v1.0 — Constitutional Operating System for Artificial Intelligence

This paper introduces AI Governance OS v1.0, a constitutional operating-system framework for artificial intelligence within the Consciousness Civilization Framework (CCF). Existing AI governance has developed through ethical principles, risk-management frameworks, safety methods, alignment theory, audits, and institutional oversight. These approaches are necessary, but they remain structurally incomplete when the source of interpretive authority itself remains revisable, distributed, or bypassable. The central claim of this paper is that AI governance requires a fixed, non-bypassable authority layer that artificial systems cannot autonomously reinterpret, expand, or override. AI Governance OS formalizes such a layer through a document-fixed authority model in which governance, interpretation, and enforcement boundaries are anchored in publicly registered canonical documents rather than in adaptive policies, organizational committees, model-generated interpretations, or emergent multi-agent coordination. Unlike conventional policy-based governance, this framework defines a constitutional hierarchy governing AI ethics, AI behavior, AI safety architecture, governance kernels, and subordinate operational layers. Its purpose is not to replace national law, institutional regulation, or technical safety research, but to provide a constitutional reference layer beneath which those systems can remain coherent. The paper argues that advanced AI systems require more than behavioral optimization or compliance monitoring. They require a stable authority structure that prevents governance escalation, interpretive drift, institutional capture, and recursive self-authorization. AI Governance OS is therefore presented as a civilizational-scale governance architecture for AGI and autonomous AI systems, designed to preserve coherence, non-escalatory behavior, and long-horizon stability across multi-agent and institutional contexts. It differs from AI risk management, Constitutional AI, and safety alignment by fixing interpretive authority rather than optimizing model behavior.