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Andrii Bidochko
  • Updated: February 2, 2026
  • 6 min read

HHS Deploys Palantir AI to Audit Grants for DEI and Gender‑Ideology Restrictions

Illustration of HHS AI auditing process
AI-driven audit workflow used by HHS to enforce DEI and gender‑ideology restrictions.

Answer: The U.S. Department of Health and Human Services (HHS) has contracted Palantir’s AI platform to automatically scan grant applications, job descriptions, and other federal documents for language that violates President Trump’s executive orders on diversity, equity, inclusion (DEI) and “gender ideology,” a practice that illustrates the growing federal crackdown on such terminology and raises major compliance challenges for agencies and contractors.

HHS’s AI‑Powered Compliance Initiative

Since March 2024, HHS’s Administration for Children and Families (ACF) has deployed Palantir’s data‑analytics suite to perform continuous AI auditing of:

  • Grant proposals submitted to federal programs.
  • Existing grant awards under review for renewal.
  • Job and position descriptions for federal employees and contractors.

The system automatically flags any text that references “DEI,” “equity,” “inclusion,” or any phrasing that could be interpreted as supporting “gender ideology.” Flagged items are routed to human reviewers for final determination.

Why AI Auditing Is Central to the Effort

Manual review of thousands of grant applications is both time‑consuming and prone to inconsistency. Palantir’s platform offers:

  1. Scalability: Ability to process millions of words per day.
  2. Consistency: Uniform application of the executive‑order criteria.
  3. Speed: Immediate alerts that keep the review pipeline moving.

These capabilities align with the federal mandate to “ensure grant funds do not promote gender ideology” (Executive Order 14168).

Executive Orders Targeting DEI and Gender‑Ideology Language

Executive Order 14151 – Ending “Radical” DEI Programs

Issued on the first day of the administration, EO 14151 directs every agency to:

  • Eliminate policies, contracts, or grants that mention DEI, equity, or environmental justice.
  • Assign the Office of Management and Budget (OMB) and the Office of Personnel Management (OPM) to oversee compliance.

Executive Order 14168 – Defending “Biological Truth”

EO 14168 defines “sex” strictly as a binary, immutable classification and declares “gender ideology” and “gender identity” as false. It explicitly bars the use of federal funds to promote these concepts.

How Palantir’s AI Detects Prohibited Language

The AI model is trained on a curated lexicon that includes:

  • Keywords such as “diversity,” “inclusion,” “equity,” “systemic,” and “underrepresented.”
  • Synonyms and contextual phrases that often appear in DEI‑focused narratives.
  • Gender‑related terms that the order deems non‑compliant, e.g., “gender identity,” “non‑binary,” “transgender.”

When a document contains any of these triggers, the system assigns a risk score and generates a concise flag for reviewers.

Financial Footprint: Contracts and Payments

Palantir’s $35 Million+ HHS Engagement

During the first fiscal year of the administration, Palantir received more than $35 million in payments and obligations from HHS. The Federal Register entries for these contracts conspicuously omit any reference to DEI or gender‑ideology compliance, reflecting the sensitivity of the work.

Credal AI’s Complementary Role

Credal AI, a startup founded by former Palantir engineers, supplied ACF with a “Tech Enterprise Generative Artificial Intelligence (GenAI) Platform.” The agency paid roughly $750,000 for this service, again without explicit mention of DEI‑related auditing.

Contractual Language and Transparency Gaps

Both Palantir and Credal AI declined to comment on the Wired inquiry, and the public contract language remains vague. This opacity raises questions about federal procurement practices and the ability of contractors to audit compliance internally.

A Nationwide Push to Purge DEI Language

The HHS effort is part of a larger federal movement that began in early 2024. Highlights include:

  • National Science Foundation (NSF): Flagged any proposal containing terms like “female,” “inclusion,” or “underrepresented.”
  • Centers for Disease Control and Prevention (CDC): Paused research mentioning “LGBT,” “transsexual,” or “non‑binary.”
  • Substance Abuse and Mental Health Services Administration (SAMHSA): Removed LGBTQ youth services from the 988 crisis line.
  • NASA: Scrubbed its website of references to women, Indigenous peoples, and LGBTQ communities.

Collectively, these actions have frozen or terminated nearly $3 billion in grant funding across agencies.

What This Means for Federal Agencies and Private Contractors

Compliance Risks and Legal Exposure

Agencies now face heightened scrutiny. Failure to detect prohibited language can result in:

  • Funding claw‑backs.
  • Audit penalties from the OMB.
  • Reputational damage and potential litigation.

Opportunities for AI Governance Solutions

Enterprises that specialize in transparent AI auditing can fill a critical gap. UBOS platform overview offers a modular architecture that integrates compliance checks directly into existing workflows.

Key capabilities that align with federal needs include:

  • Workflow Automation Studio: Build custom pipelines that route flagged content to human reviewers without manual intervention. (Workflow automation studio)
  • AI Marketing Agents: While designed for commercial use, the same technology can be repurposed for policy‑compliant content generation. (AI marketing agents)
  • Web App Editor on UBOS: Rapidly prototype internal audit dashboards. (Web app editor on UBOS)

Pricing Transparency for Government Projects

Understanding cost structures is essential for budgeting. The UBOS pricing plans provide tiered options that can be matched to agency size—from SMB‑level contracts to enterprise‑wide deployments.

Leveraging UBOS to Meet Federal AI Auditing Requirements

UBOS’s suite of tools is built with ethical AI at its core, aligning with the agency’s need for transparent, auditable models.

Template‑Driven Quick Starts

For teams that need to launch compliance checks fast, the UBOS templates for quick start include pre‑configured rule sets for DEI language detection, ready to be customized for specific executive orders.

Partner Program for Federal Contractors

Contractors can join the UBOS partner program to receive dedicated support, co‑branding opportunities, and access to the latest AI policy updates (AI policy).

Case Studies and Portfolio Examples

Real‑world implementations demonstrate success. Review the UBOS portfolio examples to see how other agencies have reduced audit turnaround time by up to 60%.

Specialized Integrations for Communication Channels

Many federal teams rely on secure messaging. UBOS supports:

Advanced Data Stores and Voice Capabilities

For large‑scale document repositories, the Chroma DB integration provides vector‑search capabilities that accelerate semantic matching of prohibited language.

When auditory alerts are preferred, the ElevenLabs AI voice integration can read out high‑risk findings to compliance officers.

Conclusion: Preparing for an AI‑Driven Compliance Landscape

The HHS‑Palantir partnership illustrates a pivotal shift: federal agencies are now relying on sophisticated AI to enforce politically‑driven language policies. For policymakers, contractors, and technology providers, the message is clear—robust, transparent, and auditable AI systems are no longer optional.

Organizations that adopt flexible platforms like UBOS can stay ahead of regulatory changes, reduce manual labor, and demonstrate compliance to oversight bodies.

For a deeper investigative look, read the original Wired story: Palantir’s secret AI audit for HHS.

Stay informed. Stay compliant. Explore how UBOS can power your AI governance journey today.


Andrii Bidochko

CTO UBOS

Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.

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