Dual-Layer Ethical Transparency for Modern AI Systems: RAHN-Twin Framework (Reasonable Auditable Human and Non-Human)

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Authors: Ranjith Raju Thomas
Cited by: 0

Abstract

Related Publication Ranjith Raju Thomas (2025). Dual-Layer Ethical Transparency for Modern AI Systems: RAHN-Twin Framework (Reasonable Auditable Human and Non-Human). Zenodo. https://doi.org/10.5281/zenodo.17781412 Description: This project supports the RAHN-Twin Framework, a dual-layer ethical transparency and governance model for modern AI systems. The framework addresses both human-facing interpretability and system-level auditability, with a focus on agentic, multimodal, and AGI/ASI-era AI governance.

Fields of Study & Subjects

Ethics and Social Impacts of AI Explainable Artificial Intelligence (XAI) Safety Systems Engineering in Autonomy

Publication details

Journal / source
OSF Preprints (OSF Preprints)
Publication date
6 February 2026
Document type
Preprint