This work presents a proto-constitutional governance framework for artificial general intelligence (AGI) under stateless conditions. The framework is built around the Mirror Principle, which posits that asymmetry between governed agents and oversight structures leads to systemic instability. Based on this principle, the paper introduces a layered governance architecture including the Grey Audit (a meta-audit mechanism activated when oversight is compromised), Distributed Constitutional Oversight (DCO), and a collective mandate model for stateless AGI environments. The contribution is conceptual but structurally explicit: it defines core axioms, governance mechanisms, and extension modules within a three-layer architecture. A minimal operational specification of the Grey Audit is provided, along with a toy-model outline for future formalization. This document is not a legal framework or standard, but a proto-constitutional design intended to support further formalization in mechanism design, multi-agent systems, and AI governance research. This document represents a conceptual and architectural framework. It is intended as a foundation for future formalization and empirical validation. Versioned releases will follow as additional formal and experimental components are developed.
Omri Bankuti (Tue,) studied this question.