Constitutional Decision Protocol (CDP): A Governance Framework for Accountable Decision Systems

Abstract

The Constitutional Decision Protocol (CDP) is a governance framework designed for algorithmic and hybrid human–AI decision systems.
Current discussions in AI governance and alignment often focus on optimizing model behavior or constraining outputs through policy layers. However, less attention has been given to the possibility that decision systems themselves require a constitutional structure that governs how decisions are allowed to be made.
CDP introduces a constitutional layer that operates around decision engines and ensures that decisions remain transparent, auditable, and structurally accountable. Instead of optimizing a single objective, the protocol evaluates tension between three distinct dimensions: values, rules, and contextual conditions.
The framework defines structured decision modes including normal operation, human review, emergency exception, incompatibility, and veto. When emergency decisions occur, the protocol records a “standing ethical debt” to ensure that exceptional actions remain visible within institutional memory.
CDP also requires structured decision logging and reproducibility, allowing decisions to be audited and traced over time.
The protocol is intended as a governance architecture for systems where decisions involve competing normative constraints, such as public administration, healthcare decision support, legal systems, and AI governance infrastructures.