Pre-Inference Governance A Comprehensive Institutional Authorization Architecture for High-Risk Artificial Intelligence Systems Structural Doctrine · Liability Boundary Formalization · Regulatory Translation Framework · Insurability Model · Semantic Integrity Architecture · Fail-Closed Governance Paradigm

This publication provides a comprehensive doctrinal consolidation of Pre-Inference Governance as an authorization-first institutional architecture governing inference and automated execution in high-risk artificial intelligence systems. The document formalizes authorization logic, liability containment principles, regulatory translation mechanisms, insurability implications, semantic boundary doctrine, and fail-closed execution behavior. Pre-Inference Governance defines inference not as a default computational right but as a conditional institutional capability requiring verified authorization prior to activation. Where authorization cannot be established, computational silence constitutes correct system behavior. This document is descriptive and non-operational and provides no implementation guidance.