Cryptographic Enforcement of Professional Licensure Requirements in AI Chatbot Systems
Technical implementation of NY Senate Bill S.7263 compliance architecture providing cryptographic enforcement of professional licensure requirements in AI chatbot systems. Presents five-layer architecture (Decision Rights Registry, Organizational Trust Graph, Accountability Ledger, Institutional Safety Net, Governance Version Control) with thirty enumerated workarounds including deepfake-based authorization simulation, Web3/DAO evasion, quantum computing threats, side-channel attacks, and legal evolution strategies. Establishes comprehensive prior art for defensive patent protection. Filed February 25, 2026, seven days before S.7263 advanced to Third Reading.
Authors
- Ilyes Tarik MAZARI
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-03-08
- DOI
- https://doi.org/10.5281/zenodo.18916118
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00