H2E: Human-to-Expert AI Governance Through Geometric Safety Manifolds Technical Status Report & Roadmap — UNESCO Resilient AI Challenge

H2E: Human-to-Expert AI Governance Roadmap H2E (Human-to-Expert) is a deterministic AI governance system developed by the Sovereign Machine Lab (SOMALA) for the UNESCO Resilient AI Challenge. Unlike traditional AI safety methods that rely on statistical probabilities and filtering after an output is generated, H2E uses geometric and mathematical constraints to guarantee safety before a single token is ever produced. Mathematical Foundations The system is built on Arithmetic Spectral Theory (AST)