This document defines the Decision Pathway Reconstruction Methodology within the Justice Decision Observability™ (JDO™) Framework Series. Decision Pathway Reconstruction establishes a structured approach for documenting and analyzing how automated system outputs are interpreted, acted upon, and transformed into operational decisions within justice system environments. It addresses a critical governance gap: the absence of visibility into how human decision-makers interpret and rely upon system-generated signals under real-world conditions. The methodology reconstructs the full interpretive pathway from signal to action, including decision points, reliance behaviors, discretion application, and the operational conditions present at the Moment of Authority™. It draws on multiple forms of evidence, including system logs, incident reports, communication records, surveillance data, and policy frameworks, to capture both event sequences and decision context. Version 1.2 expands the methodology to incorporate comparative case pattern analysis, historical decision behavior, and institutional response norms. It also introduces enhanced analytical outputs, including decision variability identification and cross-case discretion mapping, enabling more precise detection of governance risks and decision instability. This work is part of the Justice Decision Observability™ Framework Series (JD-O™ 001–013), which establishes the first operational doctrine for documenting and governing human–AI decision interaction in justice systems. Justice Decision Observability™ is a trademark of Justice Beacon Solutions.
Fleming et al. (Fri,) studied this question.