Executive Order on Preventing Woke AI In The Federal Government

Directs federal agency heads to procure large language models (LLMs) that adhere to two principles: truth-seeking and ideological neutrality. Requires developers to not intentionally encode partisan or ideological judgments into an LLM’s outputs. Instructs the Office of Management and Budget to issue guidance for implementation, acknowledging technical limitations and allowing exceptions for national security systems.

  • Authority: Executive Office of the President
  • Parent authority: Federal government
  • Jurisdiction: United States
  • Collections: U.S. regulations, executive orders, and agency policies
  • Most recent activity: Enacted
  • Most recent activity date: 2025-07-23

Risk subdomain coverage

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

  • Unfair discrimination and misrepresentation
  • False or misleading information
  • Governance failure
  • Lack of capability or robustness
  • Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of risk domains, primarily addressing ideological bias and misinformation risks (3.1) through procurement requirements. It touches on governance mechanisms (6.5) and system limitations (7.3, 7.4) but focuses narrowly on bias prevention rather than comprehensive risk mitigation. Coverage is limited to 3-4 subdomains with minimal depth.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

  • Public Administration (excl. National Security)

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

  • Educational Services
  • National Security

All other sectors had no coverage in this document.

Sectors Summary

This Executive Order governs AI procurement across all federal agencies, which means it applies to Public Administration (excluding National Security) and National Security sectors. The order establishes procurement requirements that affect how government agencies across all functions acquire and use LLMs.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding Executive Order issued by the President with legal authority over federal agencies, containing mandatory procurement requirements with enforcement mechanisms including contract termination and vendor liability for decommissioning costs.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: Executive Office of the President; President Donald J. Trump
  • Summary: The document is an Executive Order issued by the President, as indicated by the authority statement and signature. The President is the sole proposer of this governance instrument.

Target

  • Entity Types: AI_Governance_Actor, AI_Developer
  • Entities: Federal agencies; agency heads; LLM vendors; LLM developers
  • Summary: The order targets federal agency heads who must procure compliant LLMs, and by extension targets LLM developers and vendors who must develop models according to the Unbiased AI Principles to be eligible for federal procurement.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Office of Management and Budget (OMB); agency heads; Administrator for Federal Procurement Policy; Administrator of General Services
  • Summary: OMB is directed to issue implementation guidance, and agency heads are responsible for enforcing compliance through contract terms, including termination for noncompliance and charging decommissioning costs to vendors.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: agency heads; Office of Management and Budget (OMB)
  • Summary: Agency heads are required to adopt procedures to ensure LLM compliance with the Unbiased AI Principles, implying ongoing monitoring responsibilities. OMB provides oversight through guidance issuance and consultation.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

  • Plan and Design
  • Verify and Validate
  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document primarily focuses on the procurement and deployment stages of AI systems, with implicit coverage of design principles through the Unbiased AI Principles. It addresses operational monitoring through required agency procedures but does not substantially cover data collection, model training, or validation stages.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

  • AI Models
  • AI Systems
  • Generative AI
  • Open Weight / Open Source

Technical Scope Summary

The document explicitly focuses on large language models (LLMs), defined as generative AI models. It does not mention frontier AI, general purpose AI, task-specific AI, foundation models, predictive AI, open-weight models, or compute thresholds. The scope is narrowly defined to LLMs in federal procurement contexts.

https://www.whitehouse.gov/presidential-actions/2025/07/preventing-woke-ai-in-the-federal-government/
https://agora.eto.tech/instrument/2546
Explore in the Document View

Document data from AGORA, CSET Emerging Technology Observatory.