AI use-case explorer
AI use cases
Search and filter every reported use case. Open a record for the agency's full description, governance answers and source provenance.
Columns (7)
| Use case | Agency | Stage | High-impact | Topic area | AI classification | Sourcing |
|---|---|---|---|---|---|---|
| Using Llama to summarize PubMed Central (PMC) full text articles that contain information on protein function R1017 · HHS/NIH | HHS | Pilot | Not high-impact | Science | Natural language processing | Developed in-house |
| Leveraging NLP and LLMs to identify and characterize NIH prevention research via 160-topic taxonomy R1018 · HHS/NIH | HHS | Pilot | Not high-impact | Health and Medical | Generative AI | Contract and in-house |
| Section 508 Azure OpenAI Chatbot R1021 · HHS/NIH | HHS | Pilot | Not high-impact | Information Technology | Generative AI | Contract and in-house |
| NIH Travel Policy AI Chatbot R1023 · HHS/NIH | HHS | Pilot | Not high-impact | Administrative Functions | Generative AI | Contract and in-house |
| ABE (AI-driven. Beneficial. Efficient.) R1025 · HHS/OASH/OIDP | HHS | Pilot | Not high-impact | Information Technology | Generative AI | Contract and in-house |
| AI Harvest Service R1027 · HHS/OCIO | HHS | Pilot | Not high-impact | Information Technology | Generative AI | Purchased from vendor |
| GrantSolutions Non?Competing Continuation Review Tool R1036 · HHS/ASFR/OG | HHS | Pilot | Not high-impact | Service Delivery | Generative AI | Contract and in-house |
| ChatGPT R1037 · HHS/OCR | HHS | Pilot | Not high-impact | Law Enforcement | Generative AI | Purchased from vendor |
| CoPilot Outlook R1038 · HHS/OCR | HHS | Pilot | Not high-impact | Law Enforcement | Generative AI | Purchased from vendor |
| FDIC Deposit Insurance Misrepresentation FDIC-22 · Division of Depositor and Consumer Protection | FDIC | Pilot | Not high-impact | Other | Other | Purchased from vendor |
| Trust Document Entity Extraction FDIC – 52 · Division of Resolutions and Receiverships | FDIC | Pilot | Not high-impact | Other | Natural language processing | Contract and in-house |
| New Offsite Models FDIC – 57 · Division of Risk Management Supervision | FDIC | Pilot | Not high-impact | Information Technology | Classical / predictive ML | Developed in-house |
| QCEW NAICS Autocoder DOL-39 · BLS | DOL | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| AI Headset DOL-44 · MSHA | DOL | Pilot | Not high-impact | Other | Computer vision | Purchased from vendor |
| LCAT - Land Change Analysis Technique USDA-011 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Raster Tools USDA-017 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Forest Health Detection Monitoring USDA-021 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Contract and in-house |
| Genomic Analyses of Pathogen Subtypes USDA-043 · Food Safety | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Foodborne Illness Source Attribution USDA-044 · Food Safety | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| FSA FLP Chatbot USDA-052 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Service Delivery | Generative AI | Contract and in-house |
| File Rename USDA-057 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Administrative Functions | Natural language processing | Developed in-house |
| XyloTron/XyloPhone Wood Identification System USDA-069 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Fire Resilient Landscapes USDA-074 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Spread and Balance Sample Design USDA-076 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Regression, Classification, Clustering with Hilbert Curves USDA-077 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Wildlife Deterrent System USDA-086 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Contract and in-house |
| Axon+ Copilot Studio Chatbot USDA-098 · Research, Education and Economics | USDA | Pilot | Not high-impact | Information Technology | Generative AI | Contract and in-house |
| NWRC ND Field Station Birds and Agriculture Project USDA-100 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| NWRC LSS Bioinformatic Coding USDA-101 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| NWRC Rabies ML A.D. USDA-102 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| NWRC Rabies ML M.H. USDA-103 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| NWRC Pepin ML & AI USDA-104 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| NWRC Genetics Metadata USDA-105 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| GovChat USDA-107 · Research, Education and Economics | USDA | Pilot | Not high-impact | Other | Generative AI | Purchased from vendor |
| Vegetation Specifications Suite (VegSpec) USDA-117 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Service Delivery | Classical / predictive ML | Contract and in-house |
| NETS automated waterway design USDA-118 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Transportation | Agentic AI | Purchased from vendor |
| Digital Soil Mapping USDA-120 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Annual Soil Refresh Data Staging Server Automation USDA-121 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Information Technology | Computer vision | Purchased from vendor |
| Species Distribution Data analysis USDA-126 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Random Forest with Aquatic Effectiveness Monitoring USDA-131 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Forest fire effects remote sensing models USDA-132 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Select Tree Mapping USDA-134 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Yearly Incident Procurement Classification Report USDA-135 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Developed in-house |
| American Recovery Act Classification Tool USDA-136 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Emergency Management | Natural language processing | Developed in-house |
| Automated Road Mapping USDA-137 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Computer vision | Contract and in-house |
| Bugnet USDA-143 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Contract and in-house |
| Recreation site chatbot USDA-144 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Natural language processing | Contract and in-house |
| Forest Mapping using G-LiHT airborne data in interior Alaska USDA-146 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Forest Health Protection: Survey and mapping of forest damage from insects and diseases using machine learning USDA-148 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Contract and in-house |
| Predicting fire severity potential in future wildfires in California USDA-151 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Energy and the Environment | Classical / predictive ML | Developed in-house |