Volition Denial: The Structural Roots of Escalation in Intelligent Systems

This white paper introduces the concept of volition denial as a core failure mode in intelligent systems—whether artificial, institutional, or geopolitical. It argues that systems which cannot name, trace, or constrain their own will inevitably substitute justification for intention, resulting in uncorrectable errors, unstoppable execution, and escalation masked as reasonableness. Drawing from cognitive science, systems theory, and AI safety, the paper formalizes three failure modes (inability to self-correct, inability to stop, and structural escalation) and proposes architectural countermeasures, including the LucidLock patent series on volition-bound termination logic. The document includes full diagrams and examples from LLMs, multi-agent swarms, EU governance systems, and regulatory creep. Released January 2026 as a formal reference document for regulators, researchers, and system architects designing safe, self-correcting AI and institutional systems.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-13
DOI
https://doi.org/10.5281/zenodo.18237284
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Volition Denial: The Structural Roots of Escalation in Intelligent Systems

Sean Honan, Lucid The Forge
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Volition Denial: The Structural Roots of Escalation in Intelligent Systems

Sean Honan, Lucid The Forge
article en

Abstract

This white paper introduces the concept of volition denial as a core failure mode in intelligent systems—whether artificial, institutional, or geopolitical. It argues that systems which cannot name, trace, or constrain their own will inevitably substitute justification for intention, resulting in uncorrectable errors, unstoppable execution, and escalation masked as reasonableness. Drawing from cognitive science, systems theory, and AI safety, the paper formalizes three failure modes (inability to self-correct, inability to stop, and structural escalation) and proposes architectural countermeasures, including the LucidLock patent series on volition-bound termination logic. The document includes full diagrams and examples from LLMs, multi-agent swarms, EU governance systems, and regulatory creep. Released January 2026 as a formal reference document for regulators, researchers, and system architects designing safe, self-correcting AI and institutional systems.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 91%
Ethics and Social Impacts of AI
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