8.3 Additional Regulatory Frameworks

Origyn's compliance infrastructure extends beyond the EU. Emerging AI regulations in the United States, China, and other jurisdictions share common themes: transparency, accountability, and audibility. Origyn's provenance tracking aligns with these principles globally.

U.S. AI Regulations (Emerging): The October 2023 Executive Order on Safe, Secure, and Trustworthy AI directs federal agencies to develop AI safety standards. NIST's AI Risk Management Framework (voluntary) emphasizes transparency and documentation. Origyn's provenance registry supports both mandates, providing auditable lineage and transparent metadata.

China's Algorithm Regulation: China's Algorithmic Recommendation Regulation (2022) requires algorithm transparency and user rights protections. Origyn's model lineage provides algorithm transparency, documenting the ancestry and training data of recommendation models.

California Consumer Privacy Act (CCPA): CCPA grants consumers the "right to know" what personal information is collected. Origyn's dataset CID documentation allows model creators to demonstrate training data sources, supporting CCPA's transparency requirements.

Sector-Specific Regulations: Financial services (Basel III, Dodd-Frank), healthcare (HIPAA, FDA), and automotive (ISO 26262) industries impose additional compliance obligations. Origyn's immutable audit trail and compliance flagging adapt to sector-specific needs, providing a common provenance substrate across domains.

The trajectory is clear: AI regulation is tightening globally. Origyn transforms compliance from a manual documentation burden into an automated byproduct of model registration. Enterprises reduce legal risk, regulators gain efficient surveillance tools, and the broader ecosystem benefits from transparent, accountable AI development.