What question did this study set out to answer?

The study aims to establish a framework that limits AI functions to diagnostics and preserves human judgment.

January 20, 2026Open Access

The Judgement Boundary Framework (JBF) and Associated Technical Layers for AI Agency Control

Key Points

The study aims to establish a framework that limits AI functions to diagnostics and preserves human judgment.
Developed the Judgement Boundary Framework (JBF) with diagnostic specifications.
Implemented a Prolog reference for operational functions of the JBF.
Defined five indicators for structural stress affecting human judgment.
Established Non-Governing Constraints to maintain human authority over decision-making.
Successfully operationalized a diagnostic system to detect structural pressures within complex systems.
Defined clear boundaries to prevent AI from engaging in governance or automated execution.
Created technical layers that validate material marks using convergence rather than pattern recognition.

Abstract

System Overview: This archival record contains the core technical specifications for the Judgement Boundary Framework (JBF), the Material Mark interpretation and final authority must remain human. Refusal Logic: If diagnostic convergence is insufficient, the system must remain silent. Refusal to identify is treated as the correct expert outcome. License: This work is shared under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International (CC BY-NC-ND 4.0) license to protect against commercial exploitation and unauthorized derivative governance layers.

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