The AICOS Decision Constitution: Governance-First Architecture for Deterministic Decision Intelligence

The AICOS Decision Constitution introduces a governance-first framework for deterministic decision intelligence in institutional environments. As artificial intelligence systems increasingly influence high-impact decisions in finance, infrastructure, energy systems, and public governance, the need for formal authority structures becomes critical. Most contemporary AI systems prioritize predictive performance but lack explicit mechanisms for institutional accountability, authority validation, and decision traceability. This work proposes the concept of a Decision Constitution, a structured governance architecture that regulates algorithmic decision systems through defined authority hierarchies, uncertainty constraints, risk evaluation mechanisms, and deterministic decision replay. The AICOS framework introduces several theoretical components, including a structured decision risk function, entropy-based uncertainty modeling, authority dynamics equations, uncertainty lock mechanisms, and decision lineage models. Together, these elements establish a constitutional architecture in which algorithmic intelligence operates within explicit institutional constraints while preserving human-final authority. Rather than replacing human decision makers, the proposed architecture positions AI as a regulated analytical infrastructure designed to support institutional decision processes while maintaining governance integrity, auditability, and accountability. The framework is particularly relevant for high-stakes environments such as financial risk management, energy infrastructure investment, public policy analysis, and strategic governance systems.