Volition Denial: The Structural Roots of Escalation in Intelligent Systems V2.0
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. ⚖️ Disclosure Notice This repository constitutes a public technical disclosure of an invention for the purpose of establishing prior art under applicable patent and intellectual property frameworks. The disclosure is intended to prevent subsequent patenting of substantially similar subject matter by other entities. This publication is timestamped and made permanently available via public archival platforms, including Zenodo, GitHub, and IPFS/Pinata, to preserve authorship attribution and document the structural origin of the disclosed invention. 📄 License This repository is published for disclosure and reference purposes only.No license to implement, reproduce, or commercialize the disclosed invention is granted by this publication.
Authors
- Sean Honan
- Lucid The Forge
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-01-13
- DOI
- https://doi.org/10.5281/zenodo.18243007
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00