Theoretical Framework for Legal–AI Interaction: From Algorithmic Truth to Ethical Coherence in Justice Systems — A Proposed Model based on the Quantum Language & Consciousness Model (QLCM)
Abstract
[English] This framework introduces the concept of semantic decoherence in the Legal-AI interface through the Quantum Language & Consciousness Model (QLCM). It proposes the Ethical Fidelity ($E_f$) metric, with a structural invariant of $0.8037$, to validate legal truth against the statistical output of LLMs. It includes protocols for Direct Indexing and Multi-node Triangulation compatible with ISO 42001 and The Hague Principles. [Español] Este marco introduce el concepto de decoherencia semántica en la interfaz Derecho--IA mediante el Quantum Language & Consciousness Model (QLCM). Se propone la métrica de Fidelidad Ética ($E_f$) con un invariante estructural de $0.8037$ para validar la verdad jurídica frente a la producción estadística de los LLMs. Incluye protocolos de Indexación Directa y Triangulación Multinodo compatibles con ISO 42001 y los Principios de La Haya.
Fields of Study & Subjects
Ethics and Social Impacts of AI
Artificial Intelligence in Law
Explainable Artificial Intelligence (XAI)
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 2 January 2026
- Language
- EN