Preventing Woke AI in the Federal Government
Record date: 2025-07-28
( printed page 35389) Executive Order 14319 of July 23, 2025 Preventing Woke AI in the Federal Government By the authority vested in me as President by the Constitution and the laws of the United States of America, it is hereby ordered: Section 1 . Purpose. Artificial intelligence (AI) will play a critical role in how Americans of all ages learn new skills, consume information, and navigate their daily lives. Americans will require reliable outputs from AI, but when ideological biases or social agendas are built into AI models, they
What this record contains
- Federal Register document
- 2025-14217
- Publication date
- 2025-07-28
- Citation
- 90 FR 35389
- Issuing office
- Executive Office of the President
Official record excerpt
( printed page 35389) Executive Order 14319 of July 23, 2025 Preventing Woke AI in the Federal Government By the authority vested in me as President by the Constitution and the laws of the United States of America, it is hereby ordered: Section 1 . Purpose. Artificial intelligence (AI) will play a critical role in how Americans of all ages learn new skills, consume information, and navigate their daily lives. Americans will require reliable outputs from AI, but when ideological biases or social agendas are built into AI models, they can distort the quality and accuracy of the output. One of the most pervasive and destructive of these ideologies is so-called “diversity, equity, and inclusion” (DEI). In the AI context, DEI includes the suppression or distortion of factual information about race or sex; manipulation of racial or sexual representation in model outputs; incorporation of concepts like critical race theory, transgenderism, unconscious bias, intersectionality, and systemic racism; and discrimination on the basis of race or sex. DEI displaces the commitment to truth in favor of preferred outcomes and, as recent history illustrates, poses an existential threat to reliable AI. For example, one major AI model changed the race or sex of historical figures—including the Pope, the Founding Fathers, and Vikings—when prompted for images because it was trained to prioritize DEI requirements at the cost of accuracy. Another AI model refused to produce images celebrating the achievements of white people, even while complying with the same request for people of other races. In yet another case, an AI model asserted that a user should not “misgender” another person even if necessary to stop a nuclear apocalypse. While the Federal Government should be hesitant to regulate the functionality of AI models in the private marketplace, in the context of Federal procurement, it has the obligation not to procure models that sacrifice truthfulness and accuracy to ideological agendas. Building on Executive Order 13960 of December 3, 2020 (Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government), this order helps fulfill that obligation in the context of large language models. Sec. 2 . Definitions. For purposes of this order: (a) The term “agency” means an executive department, a military department, or any independent establishment within the meaning of 5 U.S.C. 101 , 102 , and 104(1) , respectively, and any wholly owned Government corporation within the meaning of 31 U.S.C. 9101 . (b) The term “agency head” means the highest-ranking official or officials of an agency, such as the Secretary, Administrator, Chairman, Director, Commissioners, or Board of Directors. (c) The term “LLM” means a large language model, which is a generative AI model trained on vast, diverse datasets that enable the model to generate natural-language responses to user prompts. (d) The term “national security system” has the same meaning as in 44 U.S.C. 3552(b)(6) . Sec. 3 . Unbiased AI Principles. It is the policy of the United States to promote the innovation and use of trustworthy AI. To advance that policy, agency heads shall, consistent with applicable law and in consideration ( printed page 35390) of guidance issued pursuant to section 4 of this order, procure only those LLMs developed in accordance with the following two principles (Unbiased AI Principles): (a) Truth-seeking. LLMs shall be truthful in responding to user prompts seeking factual information or analysis. LLMs shall prioritize historical accuracy, scientific inquiry, and objectivity, and shall acknowledge uncertainty where reliable information is incomplete or contradictory. (b) Ideological Neutrality. LLMs shall be neutral, nonpartisan tools that do not manipulate responses in favor of ideological dogmas such as DEI. Developers shall not intentionally encode partisan or ideological judgments into an LLM's outputs unless those judgments are prompted by or otherwise readily accessible to the end user. Sec. 4 . Implementation. (a) Within 120 days of the date of this order, the Director of the Office of Management and Budget (OMB), in consultation with the Administrator for Federal Procurement Policy, the Administrator of General Services, and the Director of the Office of Science and Technology Policy, shall issue guidance to agencies to implement section 3 of this order. That guidance shall: (i) account for technical limitations in complying with this order; (ii) permit vendors
The excerpt is reproduced from the public federal record and may omit later sections, tables, signatures or attachments. Open the official source for the complete text.
Questions for accountability
- What legal authority does this government action cite?
- Which agencies or officials were directed to act?
- What measurable implementation, cost, deadline or later court action followed?
How to use this page
This is a source-record entry, not a truth-rating by itself. It preserves the action, date and original government publication so it can be connected to later claims, implementation records, court decisions, costs and measurable outcomes. Editorial claim reviews on this site use separate finding labels and explain the evidence for those findings.