Patent Filling: Volition-Governed Institutional AI (Continuation A)
This continuation patent defines a volition-bound oversight framework for artificial intelligence systems operating in institutional, regulatory, or governance domains. Unlike alignment-based safety models, this system enforces termination when transparency, traceability, or structural coherence collapse — regardless of output acceptability or policy compliance. The architecture introduces: Intent declaration modules to encode institutional goals with structural audit triggers Termination governors that activate upon loss of reasoning trace, ambiguity saturation, or recursive justification Compliance modules that halt execution not on rule violation, but on breakdown between outputs and declared intent Escalation loop detectors that stop self-reinforcing execution cycles lacking novel input Override-resistant logic to prevent user, agent, or prompt interference with structural brakes This design redefines AI governance as an architectural constraint — not a behavioral policy — and secures structural sovereignty for institutional systems tasked with high-risk, high-trust decision-making. Applications include regulatory advisory AIs, institutional policy engines, explainable decision platforms, and autonomous audit systems. Filing Status: Patent continuation of the Volition-Bound AI Termination ArchitectureNovelty Focus: Structural transparency enforcement as a termination triggerRelevant Jurisdictions: EU AI Act compliance, audit traceability systems, safety-critical government AI deployments ⚖️ 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.18236585
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00