Justice Decision Observability™: Reference Architecture for Observing Human Decision Pathways in AI-Supported Justice Systems

Justice Decision Observability™ (JDO) is a governance framework for documenting and reconstructing human decision pathways in environments where automated, algorithmic, or AI-supported systems influence operational decisions within justice systems. The Justice Decision Observability Reference Architecture provides a structural model for observing the interaction between system-generated signals and human decision authority. The architecture identifies the core components of the decision pathway, including automated system alerts, human interpretation points, operational context, discretionary authority, and resulting institutional actions. In justice environments such as corrections, courts, community supervision, and public safety systems, automated alerts and decision-support technologies increasingly intersect with human discretion. However, the pathways through which system signals are interpreted and acted upon often remain poorly documented. The Justice Decision Observability Reference Architecture introduces a structured model for identifying and documenting these interactions. The architecture supports the reconstruction of decision pathways and provides a governance framework for analyzing critical events, identifying operational gaps, and strengthening transparency and accountability in algorithmically influenced justice environments.