EO 14319 — Preventing Woke AI in the Federal Government

Jurisdiction:
United States
enforcing
Effective:
Jul 23, 2025
Authority:
Executive Office of the President
Official text Verified Mar 27, 2026

Obligations Covered

Transparency & Disclosure Data Governance Risk Assessment

LLM Procurement Documentation Requirements #

Obligation:
Transparency
enforcing
Effective:
Dec 11, 2025
Risk tier:
all
Scope:
providers
sleepercross-domainhigh-impact
Creates de facto compliance obligations for any AI vendor selling LLMs to the US federal government. Agencies must require vendor documentation including model cards, data cards, acceptable use policies, and risk disclosures. Agencies must reject non-compliant models. Not branded as AI regulation, but effectively mandates transparency for a significant market segment.

Requirements

RequirementDetails
Model/data cardsVendors must provide model, system, and/or data cards detailing capabilities, limitations, risks, and mitigations
Training data provenanceVendors must disclose training data provenance information
Acceptable use policyVendors must provide acceptable use policy documentation
Inappropriate use casesVendors must disclose inappropriate use cases
End-user resourcesVendors must provide end-user resources and feedback mechanisms

Penalties

ViolationFine
Non-complianceContract termination; vendors accountable for certain costs if terminated due to non-compliance

Training Data and Risk Governance for Federal AI #

Obligation:
Data Governance
enforcing
Effective:
Dec 11, 2025
Risk tier:
all
Scope:
providers
sleepercross-domain
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

RequirementDetails
Data provenanceTraining data sources and provenance must be documented and disclosed to procuring agency
Risk documentationVendors must document risks, limitations, and mitigations for LLM systems
Compliance verificationAgencies must have sufficient documentation to assess vendor compliance with Unbiased AI Principles

Penalties

ViolationFine
Non-complianceContract termination; vendors accountable for certain costs

Unbiased AI Principles Compliance #

Obligation:
Risk Assessment
enforcing
Effective:
Jul 23, 2025
Risk tier:
all
Scope:
providers
cross-domainhigh-impact
Establishes two Unbiased AI Principles — truth-seeking and ideological neutrality — that federal LLM procurements must comply with. Agencies must adopt procedures to enforce compliance and hold vendors accountable. Effectively creates a content-level compliance standard for the federal market.

Requirements

RequirementDetails
Truth-seeking principleLLMs must prioritize factual accuracy, historical accuracy, scientific inquiry, and acknowledge uncertainty
Ideological neutrality principleLLMs must avoid unprompted value judgments and ideological biases
Compliance proceduresAgencies must adopt procedures within 90 days of OMB guidance to enforce principles
Contract termsNew contracts must include compliance terms; existing contracts updated where practicable

Penalties

ViolationFine
Non-complianceContract termination with cost accountability for vendors