Preventing Woke AI in the Federal Government
President Trump issued an executive order mandating that federal agencies procure only unbiased large language models (LLMs) in accordance with two core principles: Truth-seeking, which prioritizes historical accuracy, scientific inquiry, and objectivity; and Ideological Neutrality, requiring LLMs to be neutral and nonpartisan, avoiding manipulation based on ideological agendas like Diversity, Equity, and Inclusion (DEI).
The order directs the Office of Management and Budget to issue implementation guidance within 120 days and requires federal contracts to adhere to these principles, along with provisions for vendor accountability for noncompliance.
Exceptions are allowed for national security uses of LLMs.
Arguments For
Intended Benefits: Promotes the development and use of trustworthy, accurate AI in the federal government, free from ideological biases that could distort information and decision-making.
Evidence Cited: The order cites examples of AI models prioritizing DEI over accuracy, such as altering historical figures' race or sex in image generation and refusing to create images celebrating the achievements of white people. This supports the need for unbiased AI.
Implementation Methods: The order directs the OMB to issue guidance within 120 days, outlining how agencies should procure LLMs that conform to the principles of Truth-seeking and Ideological Neutrality. It further requires inclusion of these requirements in relevant contracts.
Legal/Historical Basis: The order builds upon previous Executive Order 13960 (Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government) and utilizes the President's authority under the Constitution and laws of the United States.
Arguments Against
Potential Impacts: This order could stifle AI innovation by limiting the types of models that can be used by the federal government,potentially reducing diversity of thought and perspectives within AI development.
Implementation Challenges: Defining and enforcing "truth" and "ideological neutrality" within AI is a complex and potentially subjective task. Establishing clear criteria and processes that are both effective and legally sound will be challenging.
Alternative Approaches: Alternative methods of ensuring AI accountability could include independent audits, ethical guidelines, or focus on transparency and explainability in AI systems, rather than direct restrictions on model development.
Unintended Effects: The order may lead to overly cautious procurement practices or incentivize contractors to develop AI models that simply avoid the issues rather than truly promoting accuracy and avoid bias. It may also further politicize the development of AI systems.
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.
This section establishes the order's purpose.
It argues that AI's increasing influence necessitates reliable outputs, unaffected by ideological biases.
The order specifically names "diversity, equity, and inclusion" (DEI) as a harmful ideology in this context, citing examples where AI models prioritize DEI over accuracy.
The order asserts that the federal government should not procure AI models that sacrifice accuracy for ideological reasons and builds on a previous executive order concerning trustworthy AI.
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).
This section defines key terms used in the order.
It clarifies the meaning of 'agency,' 'agency head,' 'large language model (LLM),' and 'national security system,' drawing upon established legal definitions from relevant U.S. Codes.
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 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.
This section outlines the two core principles for unbiased AI: Truth-seeking and Ideological Neutrality.
Truth-seeking mandates accurate and objective responses, prioritizing facts and acknowledging uncertainty when needed.
Ideological Neutrality demands that AI models avoid manipulating responses in favor of any particular ideology, unless such manipulation is explicitly requested by the user.
This establishes the standards for LLM procurement.
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 to comply with the requirement in the second Unbiased AI Principle to be transparent about ideological judgments through disclosure of the LLM’s system prompt, specifications, evaluations, or other relevant documentation, and avoid requiring disclosure of specific model weights or other sensitive technical data where practicable;
(iii) avoid over-prescription and afford latitude for vendors to comply with the Unbiased AI Principles and take different approaches to innovation;
(iv) specify 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
(v) make exceptions as appropriate for the use of LLMs in national security systems.
(b) Each agency head shall, to the maximum extent consistent with applicable law:
(i) include 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’s noncompliance with the contract following a reasonable period to cure;
(ii) to 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
(iii) within 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.
This section details the implementation of the order.
It mandates the OMB, in consultation with other relevant agencies, to provide implementation guidance within 120 days, addressing potential technical limitations and allowing flexibility for vendors.
Agency heads must incorporate the Unbiased AI Principles into future and existing contracts for LLMs, with penalties for noncompliance, and develop procedures to ensure adherence to these principles.
National security systems are granted exceptions.
Sec. 5. General Provisions. (a) Nothing in this order shall be construed to impair or otherwise affect:
(i) the authority granted by law to an executive department or agency, or the head thereof; or
(ii) the functions of the Director of the Office of Management and Budget relating to budgetary, administrative, or legislative proposals.
(b) This order shall be implemented consistent with applicable law and subject to the availability of appropriations.
(c) This 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.
(d) The costs for publication of this order shall be borne by the General Services Administration.
DONALD J. TRUMP
THE WHITE HOUSE,
July 23, 2025.
This section includes general provisions.
It clarifies that the order doesn't affect existing legal authorities or the OMB's functions.
Implementation is subject to existing laws and available funding.
The order does not create legal rights or benefits.
Publication costs are covered by the General Services Administration.