Cited by 3Ethics and Social Impacts of AIDigitalization, Law, and RegulationE-Government and Public Services

One Bad NOFO? AI Governance in Federal Grantmaking

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Bateyko, Dan, Levy, Karen·2025·Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency

Abstract

Much scholarship considers how U.S. federal agencies govern artificial intelligence (AI) through rulemaking and their own internal use policies.But agencies have an overlooked AI governance role: setting discretionary grant policy when directing billions of dollars in federal financial assistance.These dollars enable state and local entities to study, create, and use AI.This funding not only goes to dedicated AI programs, but also to grantees using AI in the course of meeting their routine grant objectives.As discretionary grantmakers, agencies guide and restrict what grant winners do-a hidden lever for AI governance.Agencies pull this lever by setting program objectives, judging criteria, and restrictions for AI use.Using a novel dataset of over 40,000 non-defense federal grant notices of funding opportunity (NOFOs) posted to Grants.gov between 2009 and 2024, we analyze how agencies regulate the use of AI by grantees.We select records mentioning AI and review their stated goals and requirements.We find agencies promoting AI in notice narratives, shaping adoption in ways other records of grant policy might fail to capture.Of the grant opportunities that mention AI, we find only a handful of AI-specific judging criteria or restrictions.This silence holds even when agencies fund AI uses in contexts affecting people's rights and which, under an analogous federal procurement regime, would result in extra oversight.These findings recast grant notices as a site of AI policymaking-albeit one that is developing out of step with other regulatory efforts and incomplete in its consideration of transparency, accountability, and privacy protections.The paper concludes by drawing lessons from AI procurement scholarship, while identifying distinct challenges in grantmaking that invite further study.

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  • The potential of public procurement as an AI governance mechanism is currently underutilised in practice.

    “Despite the promise of public procurement to act as an AI governance mechanism, first insights suggest that this potential is currently underutilised in practice [13, 129, 144, 160].”

    From “It’s Just a Wild, Wild West”: Harnessing Public Procurement as an AI Governance Mechanism (2026) · cites this paper as [13]

    Section 5.1 describes procurement contracts as a way to tailor oversight of AI deployments and notes practical challenges for procurement officials, including monitoring deployments. But the paper’s finding that agencies rarely use conditions to govern AI concerns federal grants, not procurement; it does not establish that public procurement’s governance potential is generally underutilised in practice. The indexed passages provide no page numbers. (LLM, conf=0.82)

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  • The contractual terms and requirements central to procurement processes directly shape and govern the design of the procured system.

    “Moreover, the contractual terms and requirements that are central to procurement processes directly shape and govern the design of the procured system, further highlighting the relevance of public procurement for this research domain [9, 13, 95].”

    From “It’s Just a Wild, Wild West”: Harnessing Public Procurement as an AI Governance Mechanism (2026) · cites this paper as [13]

    Section 5.1, “Lessons from AI Procurement Literature” (page unavailable), says contracting lets officials tailor restrictions to deployed AI tools and that procurement officials make policy choices about their purchase and use. It does not say that contractual requirements directly shape the procured system’s design. (LLM, conf=0.81)

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  • Public procurement could position the public sector as a gatekeeper, ensuring AI systems purchased by government agencies are better aligned with the public interest.

    “According to these works, public procurement could position the public sector as a gatekeeper, ensuring that AI systems purchased by government agencies (where such systems typically have direct societal impact) are better aligned with the public interest [13, 94].”

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Research works printed but not linked: 24

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Authors
Bateyko, D., & Levy, K.
Affiliations
Cornell University (US)
Venue
Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency
Publisher
ACM
Published
2025-06-23
Pages
1640-1652
OpenAlex
W4411541885
Cited by
3
References
3
Citations by year
2026: 3
FWCI
3.05
Type
conference paper
Language
en
Open access
Locations
  • ACM Conference on Fairness, Accountability, and Transparency (FAccT) (publishedVersion)
  • arXiv (Cornell University) (submittedVersion, cc-by)
  • arXiv (Cornell University) (cc-by)
Funders
John D. and Catherine T. MacArthur Foundation
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Law › Digitalization, Law, and Regulation
  • Social Sciences › Political Science and International Relations › E-Government and Public Services
Keywords
AI governance, discretionary grants, federal agencies, AI policy, AI procurement, transparency and accountability, privacy preservation

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