Hybrid Accountability Tracking Architecture for Autonomous Agents Using Physical Molecular Encoding
Abstract
This paper proposes a Hybrid Accountability Tracking System that ensures verifiable responsibility in autonomous AI decisions by combining digital ledgers with DNA-based physical records. By recording multimodal command context and applying a Dynamic Responsibility Attribution algorithm, the system provides tamper-resistant, long-term forensic evidence of AI decision-making.
Fields of Study & Subjects
Blockchain Technology Applications and Security
Access Control and Trust
Explainable Artificial Intelligence (XAI)
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 29 January 2026
- Document type
- Thesis