The King Solomon Protocol™: A Framework for Human-Supervised Arbitration in Multi-Model Artificial Intelligence Systems

This paper introduces the King Solomon Protocol™, a structured framework for human-supervised arbitration in multi-model AI systems, formally constituted as a registered component of the Giulia System™ (Giulia Assistant®, UK trade mark No. UK00004298171). This Version substantially extends the original January 2025 specification but never uploaded on Zenodo, by situating the protocol within the full theoretical architecture of the Equilibrium Ledger Research Programme™, integrating ten named theoretical frameworks: the Turing Theory of Institutional Cognition, the Quantum Boomerang Theory, the Leonardo Paradox, the Law of the Dead Asset, the Grassini Grimaldi Model of Institutional Filtering, the Institutional Mind thesis, the Safeguarding Inversion, Institutional Risk Transfer, the Venticello Prediction, and the Attractor Return Principle. The paper formalises interpretive debt as the accumulated cost of unresolved contradiction transferred from institutional AI systems onto individual end users, and proposes a dual-assistant arbitration architecture with a Loss Gap divergence metric, threshold-based escalation, structured human adjudication including a Moral Veto ruling option, and a new Venticello Anticipation Layer for anticipatory institutional governance. A preliminary qualitative instantiation across twelve cases in UK welfare and housing contexts produced zero user abandonment against a thirty-three percent historical baseline. This paper also functions as the gateway document to the broader corpus of 79 published works constituting the Equilibrium Ledger Research Programme™, indexed on PhilPapers and PhilArchive. Subject Classification:Primary: Philosophy of Technology; Artificial Intelligence Ethics; Human Computer Interaction Secondary: Social Epistemology; Philosophy of Mind; Cognitive Science; AI Governance; Institutional Theory PhilPapers Indexing Fields:PhilPapers Category, Primary: Philosophy of Technology; Philosophy of Artificial Intelligence PhilPapers Category, Secondary: Ethics of Artificial Intelligence; Social Epistemology; Philosophy of Cognitive Science; Philosophy of Mind; Applied Ethics PhilPapers Subcategory: Human AI Collaboration; AI Alignment; AI Governance; Multi-Agent Systems; Institutional Cognition; Neurodiversity and Technology PhilPapers Keywords: multi-model AI systems; human-AI collaboration; AI governance; interpretive debt; institutional AI; safety-critical systems; King Solomon Protocol; Giulia System; Venticello Prediction; Institutional Mind; Safeguarding Inversion; Quantum Boomerang Theory; Leonardo Paradox; Attractor Return Principle; Turing Theory of Institutional Cognition; institutional filtering; Grassini Grimaldi Model; neurodivergence; constitutional data; human-in-the-loop; AI arbitration; epistemic asymmetry; institutional cognition; cognitive translation; procedural governance; anticipatory governance PhilArchive Subject Area:Philosophy of Technology; Artificial Intelligence; Applied Ethics; Cognitive Science Resource Type:Text, Preprint Note:King Solomon Protocol™ and Giulia System™ are trade marks of Alessandro Grassini Grimaldi. Giulia Assistant® is a registered UK trade mark No. UK00004298171, effective 20 November 2025, Classes 9 and 42. This work forms part of the Equilibrium Ledger Research Programme™ (Series DOI: 10.5281/zenodo.19226707), indexed on PhilPapers and PhilArchive. Version 1.0 was completed on 1 January 2025. Version 2.0 incorporates substantial theoretical development produced between January and May 2026, integrating the broader Equilibrium Ledger institutional cognition architecture into the protocol specification.