Governance / Mind / AI
Governance-First Architecture for Artificial Intelligence (Quantum)
This paper presents a governance-first framing for artificial intelligence in which legitimacy, admissibility, and standing are treated as prior constraints rather than emergent properties of performance or learning. The analysis is structural and non-procedural: it characterizes how quantum and classical representations fit within an admissible interior governed by fail-closed evaluation, without proposing algorithms, training methods, or execution pipelines. By exhaustion, approaches that defer governance to p...