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