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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
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Federal AI Intelligence · U.S. Government AI Observatory

Federal AI landscape: executive briefing

Filtered: topic = Science; AI type = nlp

Generated 2026-10-12 05:54 UTCDataset: 2025 Federal Agency AI Use Case Inventory (individually reported use cases), Office of Management and Budget (OMB). Version 2025-inventory@62d5baa65fa3, processed 2026-10-11, rules 2026.10.1. Static snapshot.Applied filters: topic = Science; AI type = nlp · 43 records

Key findings

  • 43 use-case records from 5 agencies: 7 deployed (16%), 6 pilots, 29 in development or acquisition, 1 retired, 0 with no stage reported.
  • 0 records are designated high-impact; 0 of them (n/a) answered at least one minimum-practice question.
  • NASA, HHS, USDA report 36 of 43 use cases (84%).
  • 0% of reported deployed use cases (0 of 7) are classified as generative or agentic AI.
  • Sourcing is reported for 33% of use cases. Where reported, 93% involve in-house development.

Lifecycle

StageRecordsShare
Deployed716%
Pilot614%
Pre-deployment2967%
Retired12%

AI technology

ClassificationRecordsShareDeployed
Natural language processing43100%7

Agencies

AgencyRecordsDeployedHigh-impactCompleteness
NASA · National Aeronautics and Space Administration232063%
HHS · Department of Health and Human Services93086%
USDA · Department of Agriculture41090%
DOI · Department of the Interior40087%
DOE · Department of Energy31072%

High-impact designation

DesignationRecords
Not high-impact43

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing0000000
AI impact assessment0000000
Independent review0000000
Ongoing monitoring0000000
Operator training0000000
Fail-safe0000000
Appeal process0000000
User and public consultation0000000

"In place" means the agency reported the practice as established. "No answer" means the field was blank; it says nothing about whether the practice exists.

Method

All figures are computed directly from the normalised inventory records. Category labels are normalised from the source answer options; original values are kept on each record. Governance answers are classified as in place, in progress, not in place, not applicable, precluded, waived, other or no answer, and blanks are never read as "no". See the Methodology page for full rules.

Limitations

  • Figures are what agencies reported in the 2025 inventory. They are not verified, and registration of use cases is not complete for every agency.
  • A blank answer is missing evidence, not evidence that a practice or safeguard is absent.
  • Counts are use-case records. A larger portfolio does not indicate better performance or greater AI maturity, and agencies differ in how they split systems into use cases.
  • The inventory has no budget, cost, accuracy or outcome data. None is shown or inferred here.
  • This is a disclosure analysis. It is not an audit, a compliance determination or an official government assessment.

Source records

First 40 of 43 records, deployed first. The full list is available as CSV from the explorer with the same filters.

RecordAgency IDAgencyUse caseStage
R0204NASA-334NASANASA OCIO STI Concept Tagging ServiceDeployed
R0216NASA-365NASAGCMD Keyword Recommender (GKR)Deployed
R0836HHSCDER PublicationsDeployed
R0927HHSNCI-DOE Collaboration, MOSSAIC project (Modeling Outcomes using Surveillance Data and Scalable AI for Cancer)Deployed
R0984HHSAsk AithenaDeployed
R1316USDA-003USDANAL Automated IndexingDeployed
R3297DOE-355DOEScalable, Efficient and Accelerated Causal Reasoning Operators, Graphs and Spikes for Earth and Embedded Systems (SEA-CROGS)Deployed
R0123NASA-42NASAMADI - Strategic Foresight and Knowledge Management infrastructure for ARMD/TACP/CASPre-deployment
R0138NASA-143NASAKnowledge Capture: helionauts.orgPre-deployment
R0151NASA-187NASAScience Translation with AIPre-deployment
R0180NASA-259NASAComment Analytics DashboardPre-deployment
R0201NASA-327NASALessons Learned Bot (LLB)Pre-deployment
R0212NASA-354NASAUsing Natural Language Processing to Help Automate the Standardization of PI Variable Names from ICARTT FilesPre-deployment
R0230NASA-405NASAMapping Digital Infrastructure (MADI)Pre-deployment
R0238NASA-418NASAManager for Intelligent Knowledge Access (MIKA)Pre-deployment
R0251NASA-454NASARequirement Alignment (REQAL)Pre-deployment
R0255NASA-488NASAData Fracking (HRP)Pilot
R0256NASA-490NASAAIML for Code Review and Workforce Augmentation (converted to collective)Retired
R0267NASA-515NASALarge language models for food security outlooksPre-deployment
R0282NASA-546NASAXR Enabling Technologies for Hardware Integration & Test Process ImprovementPre-deployment
R0354NASA-653NASANatural Language Processing and Topic Modeling of the 25-Year General Coordinates Network (GCN) Circulars ArchivePre-deployment
R0399NASA-717NASAArtificial Intelligence Leveraged Information Capture and Exploration (ALICE) (ITMX)Pre-deployment
R0472NASA-870NASANatural Language query processor for Common Metadata RepositoryPre-deployment
R0475NASA-873NASAMADI - Modular AI for Design and InnovationPre-deployment
R0500NASA-904NASAHEASARC BibliographyPre-deployment
R0514NASA-921NASAAI-Enhanced Mission Operations Reporting & Decision Support SystemPre-deployment
R0515NASA-922NASAAthena (EM32 Document Intelligence)Pre-deployment
R0525NASA-933NASAMIRA (MAPTIS NLP Interface)Pre-deployment
R0649HHSPortfolio AnalyticsPilot
R0728HHSMining.AIPre-deployment
R0981HHSDetection of AI-Generated Reviewer CritiquesPilot
R1007HHSIdentifying pain vs non-pain researchPre-deployment
R1016HHSIncorporating External Information into TaxonomyPre-deployment
R1017HHSUsing Llama to summarize PubMed Central (PMC) full text articles that contain information on protein functionPilot
R1389USDA-090USDAIOL Focus Group and Survey SensemakingPre-deployment
R1397USDA-099USDAPlum Island handwriting and text extraction from scanned pdfsPre-deployment
R1442USDA-144USDARecreation site chatbotPilot
R2642DOI-0109DOILLM-Assisted Volcanic Alert MonitoringPilot
R2650DOI-0106DOIAccelerating scientific discovery through AI-driven literature synthesis and meta-analysis using large language models [2024 INV#WO0000000201793]]Pre-deployment
R2676DOI-0077DOIATLASPre-deployment

Prepared with Federal AI Intelligence by Irakli Petriashvili. Source: https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory