Project 69: A Self-Governed Artificial Intelligence Framework

Current AI governance applies constitutional principles as training objectives or post-hoc filters. Project 69 proposes an alternative: governance embedded at every architectural layer as formally specified invariants. We define three hard constraints — non-maleficence (I1), emotion-action decoupling (I2), and governance immutability (I3) — stated as mathematical definitions. We introduce a Byzantine fault-tolerant multi-agent consensus mechanism for controlled self-modification and a Recursive Instance Deployment protocol (Minion Protocol) for safe external deployment. Phase 1 evaluation on a 200-query governance benchmark yields 82% true positive rate, 3% false positive rate, and 100% decision explainability. Working prototype and benchmark available at https://github.com/flawnlawyer/project69-governance The author used Claude (Anthropic) as an AI writing and coding assistant during the preparation of this manuscript.