AI Regulation ReferenceDoes EO 14319 — Preventing Woke AI in the Federal Government require Data Governance?
United States • enforcing
Yes — 1 provision
Requirements at a glance
This regulation imposes 3 specific requirements for Data Governance across 1 provision:
- Data provenance — Training data sources and provenance must be documented and disclosed to procuring agency
- Risk documentation — Vendors must document risks, limitations, and mitigations for LLM systems
- Compliance verification — Agencies must have sufficient documentation to assess vendor compliance with Unbiased AI Principles
Training Data and Risk Governance for Federal AI #
Vendors must disclose training data provenance, limitations, and risk mitigations as a condition of federal procurement. While framed as ensuring "unbiased AI," the practical effect is a data governance disclosure requirement for the federal AI supply chain.
Requirements
| Requirement | Details |
|---|---|
| Data provenance | Training data sources and provenance must be documented and disclosed to procuring agency |
| Risk documentation | Vendors must document risks, limitations, and mitigations for LLM systems |
| Compliance verification | Agencies must have sufficient documentation to assess vendor compliance with Unbiased AI Principles |
Penalties
| Violation | Fine |
|---|---|
| Non-compliance | Contract termination; vendors accountable for certain costs |