FAIR-DO Framework: Language-Specific Operational Cores for Neural Network Use

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: George A. Bondarenko
DOI: 10.5281/zenodo.18311452
Cited by: 0

Abstract

This record contains the unified, condensed operational cores of the Fair Delegation Protocol (FAIR-DO) in three languages: Russian, English, and Chinese. Each file is a self-contained theoretical foundation designed to be embedded directly into AI prompts, ensuring consistent, hallucination-resistant reasoning within the FAIR-DO architecture. The content is derived from and aligned with the original works (DOI: 10.5281/zenodo.18145328, 10.5281/zenodo.18098317).

Fields of Study & Subjects

Ethics and Social Impacts of AI Access Control and Trust Artificial Intelligence Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
20 January 2026
Language
EN
Document type
Dataset