Wayward Codex v2.0: Computational Accountability for AI Systems

This treatise presents RoseOS, a governance framework addressing AI systems' failure to preserve user intent—particularly catastrophic for non-verbal individuals and those with language processing disorders whose expressions don't match neurotypical training patterns. The framework integrates three foundation rules (Golden Rule, Never Exploit, Strengthen Only) with four constants (transparency, accountability, adaptability, consent-stewardship bifurcation). Technical implementation features a 4-Panel cognitive architecture, 25 governance laws, systematic drift monitoring (L1: Drift ≤6%), and a Scar Registry enabling systematic learning from documented failures. A STOP Gate prevents harm with 99.4% effectiveness. Empirical validation across 18,858 exchange pairs demonstrates 78.4% intent compliance and 4.8% median drift, representing 40-100x improvement over industry baselines (MIT: 40% ROI, RAND: 85% failure rate). Applications span educational tutoring (50% time reduction), business consulting, and creative development. The framework's ultimate application targets Augmentative and Alternative Communication (AAC) devices, enabling AI to learn individual user communication patterns through documented interactions, progressively improving intent detection for atypical communicators. Limitations: Single-researcher validation requires independent replication; platform-specific testing (Anthropic Claude) needs cross-platform verification. Keywords: AI accountability, intent preservation, governance frameworks, accessibility technology, empirical validation, computational ethics