By the authority vested in me as President by the Constitution and the laws of the United States of America, it is hereby ordered:<\/p>\n
Section 1.\u00a0 Purpose.\u00a0 Artificial intelligence (AI) will play a critical role in how Americans of all ages learn new skills, consume information, and navigate their daily lives.\u00a0 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.\u00a0<\/p>\n
One of the most pervasive and destructive of these ideologies is so-called \u201cdiversity, equity, and inclusion\u201d (DEI).\u00a0 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.\u00a0 DEI displaces the commitment to truth in favor of preferred outcomes and, as recent history illustrates, poses an existential threat to reliable AI.<\/p>\n
For example, one major AI model changed the race or sex of historical figures \u2014 including the Pope, the Founding Fathers, and Vikings \u2014 when prompted for images because it was trained to prioritize DEI requirements at the cost of accuracy.\u00a0 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.\u00a0 In yet another case, an AI model asserted that a user should not \u201cmisgender\u201d another person even if necessary to stop a nuclear apocalypse.\u00a0<\/p>\n
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.\u00a0 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.<\/p>\n
Sec. 2.\u00a0 Definitions. \u00a0For purposes of this order:<\/p>\n
(a)\u00a0 The term \u201cagency\u201d 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.<\/p>\n
(b) \u00a0The term \u201cagency head\u201d means the highest-ranking<\/p>\n
official or officials of an agency, such as the Secretary, Administrator, Chairman, Director, Commissioners, or Board of Directors.<\/p>\n
(c) \u00a0The term \u201cLLM\u201d 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.<\/p>\n
(d) \u00a0The term \u201cnational security system\u201d has the same meaning as in 44 U.S.C. 3552(b)(6).<\/p>\n
Sec. 3. \u00a0Unbiased AI Principles.\u00a0 It is the policy of the United States to promote the innovation and use of trustworthy AI.\u00a0 To advance that policy, agency heads shall, consistent with applicable law and in consideration 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):\u00a0<\/p>\n
(a)\u00a0 Truth-seeking.\u00a0 LLMs shall be truthful in responding to user prompts seeking factual information or analysis.\u00a0 LLMs shall prioritize historical accuracy, scientific inquiry, and objectivity, and shall acknowledge uncertainty where reliable information is incomplete or contradictory.\u00a0<\/p>\n
(b)\u00a0 Ideological Neutrality.\u00a0 LLMs shall be neutral, nonpartisan tools that do not manipulate responses in favor of ideological dogmas such as DEI.\u00a0 Developers shall not intentionally encode partisan or ideological judgments into an LLM\u2019s outputs unless those judgments are prompted by or otherwise readily accessible to the end user.\u00a0<\/p>\n
Sec. 4. \u00a0Implementation.\u00a0 (a) \u00a0Within 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.\u00a0 That guidance shall:<\/p>\n
(i) \u00a0\u00a0\u00a0account for technical limitations in complying with this order;<\/p>\n
(ii) \u00a0\u00a0permit vendors to comply with the requirement in the second Unbiased AI Principle to be transparent about ideological judgments through disclosure of the LLM\u2019s system prompt, specifications, evaluations, or other relevant documentation, and avoid requiring disclosure of specific model weights or other sensitive technical data where practicable;<\/p>\n
(iii) \u00a0avoid over-prescription and afford latitude for vendors to comply with the Unbiased AI Principles and take different approaches to innovation;<\/p>\n
(iv) \u00a0\u00a0specify factors for agency heads to consider in determining whether to apply the Unbiased AI Principles to LLMs developed by the agencies and to AI models other than LLMs; and<\/p>\n
(v) \u00a0\u00a0\u00a0make exceptions as appropriate for the use of LLMs in national security systems.<\/p>\n
(b)\u00a0 Each agency head shall, to the maximum extent consistent with applicable law:<\/p>\n
(i) \u00a0\u00a0\u00a0include in each Federal contract for an LLM entered into following the date of the OMB guidance issued under subsection (a) of this section terms requiring that the procured LLM comply with the Unbiased AI Principles and providing that decommissioning costs shall be charged to the vendor in the event of termination by the agency for the vendor\u2019s noncompliance with the contract following a reasonable period to cure;<\/p>\n
(ii) \u00a0\u00a0to the extent practicable and consistent with contract terms, revise existing contracts for LLMs to include the terms specified in subsection (b)(i) of this section; and<\/p>\n
(iii) \u00a0within 90 days of the OMB guidance issued under subsection (a) of this section, adopt procedures to ensure that LLMs procured by the agency comply with the Unbiased AI Principles.<\/p>\n
Sec. 5.\u00a0 General Provisions. \u00a0(a) \u00a0Nothing in this order shall be construed to impair or otherwise affect:<\/p>\n
(i)\u00a0 \u00a0the authority granted by law to an executive department or agency, or the head thereof; or<\/p>\n
(ii) \u00a0the functions of the Director of the Office of Management and Budget relating to budgetary, administrative, or legislative proposals.<\/p>\n
(b) \u00a0This order shall be implemented consistent with applicable law and subject to the availability of appropriations.<\/p>\n
(c) \u00a0This order is not intended to, and does not, create any right or benefit, substantive or procedural, enforceable at law or in equity by any party against the United States, its departments, agencies, or entities, its officers, employees, or agents, or any other person.<\/p>\n
(d) \u00a0The costs for publication of this order shall be borne by the General Services Administration.<\/p>\n
\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0 DONALD J. TRUMP<\/p>\n
THE WHITE HOUSE,<\/p>\n
\u00a0\u00a0\u00a0 July 23, 2025.<\/p>\n","protected":false},"excerpt":{"rendered":"By the authority vested in me as President by the Constitution and the laws of the United States…\n","protected":false},"author":2,"featured_media":17736,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[45],"tags":[182,181,507,74],"class_list":["post-32641","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/32641","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=32641"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/32641\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/17736"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=32641"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=32641"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=32641"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}