Patent Filing: Volition-Bound AI Termination Architecture
Title:Volition-Governed Institutional AI: A Structural Termination Framework for Transparent Oversight Description:This technical disclosure presents a continuation architecture of the Volition-Bound AI Termination framework, designed specifically for institutional and regulatory oversight contexts. It introduces a structural mechanism for supervising and terminating artificial intelligence execution based not on content filtering or behavioral alignment, but on volitional traceability and transparency thresholds. The system enforces execution termination when reasoning chains become unverifiable, ambiguity exceeds structural thresholds, or justification loops persist without new input. This enables auditability, institutional safety, and compliance enforcement without relying on policy emulation or content moderation. Core features include:– Declared institutional intent with transparency thresholds– Governance termination governor with structural triggers– Justification loop detection and traceability collapse recognition– Compliance interface without rule-based censorship– Override-resistant architecture for protected execution boundaries This framework supports AI auditors, decision review engines, automated compliance monitors, and governance systems seeking structural coherence over alignment mimicry. It builds on the prior “Volition-Bound AI Termination Architecture” and serves as a legally distinct, domain-specific continuation. ⚖️ 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.18236375
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00