Phase Mirror Dissonance Methodology for Agentic AI Governance and Organizational Diagnostics

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Authors: Ryan Van Gelder
Cited by: 0

Abstract

Phase Mirror Dissonance (PMD) is a defensive publication that establishes prior art for a practical methodology to surface and resolve contradictions in organizational systems, with a primary application to agentic AI governance. It formalizes a repeatable diagnostic loop and a callable “Mirror Dissonance Oracle” protocol intended to make governance enforceable, auditable, and interoperable across implementations.

Fields of Study & Subjects

Ethics and Social Impacts of AI Information Technology Governance and Strategy Artificial Intelligence Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 January 2026
Language
EN