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 |
|---|---|---|---|---|---|---|
| Hazard Mitigation Assistance Chatbot DHS-2439 · FEMA | DHS | Pilot | Not high-impact | Administrative Functions | Generative AI | Contract and in-house |
| Technical Resource for Mitigation Programs DHS-2711 · FEMA | DHS | Pilot | Not high-impact | Emergency Management | Generative AI | Developed in-house |
| Large Language Model (LLM) Guided Data Dictionary Generation DHS-2727 · FEMA | DHS | Pilot | Not high-impact | Information Technology | Generative AI | Developed in-house |
| LIGER Generative AI Toolkit DHS-2454 · MGMT | DHS | Pilot | Not high-impact | Administrative Functions | Generative AI | Purchased from vendor |
| AI Assistants in Esri Tools 27 · OFA | EPA | Pilot | Not high-impact | Service Delivery | Generative AI | Contract and in-house |
| Preparation of Brownfields Success Stories 29 · Region 1 | EPA | Pilot | Not high-impact | Administrative Functions | Generative AI | Developed in-house |
| SF182 Form and Policy Assistant 34 · OFA | EPA | Pilot | Not high-impact | Human Resources | Natural language processing | Developed in-house |
| Summarize and draft response to comments 57 · Region 8 | EPA | Pilot | Not high-impact | Administrative Functions | Generative AI | Developed in-house |
| Document comparison 58 · Region 8 | EPA | Pilot | Not high-impact | Administrative Functions | Generative AI | Developed in-house |
| AI-Enhanced Facility Finder 75 · OECA | EPA | Pilot | Not high-impact | Law Enforcement | Computer vision | Developed in-house |
| Gas Blanket Certificates (Permitting) FERC-0005 · FERC | FERC | Pilot | Not high-impact | Energy and the Environment | Generative AI | Contract and in-house |
| Internal Generative AI Tools for Staff Productivity EAC-2 · All EAC divisions where staff elect to use approved tools | EAC | Pilot | Not high-impact | Administrative Functions | Generative AI | Purchased from vendor |
| VoiceAtlas no-code chatbot framework DOI-0248 · USGS | DOI | Pilot | Not high-impact | Science | Agentic AI | Purchased from vendor |
| Machine Learning approach to predict the composition of seafloor massive sulfide deposits [2024 INV#WO0000000108420] DOI-0245 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Google Cloud Vision [2024 INV#WO0000000154445] DOI-0243 · USGS | DOI | Pilot | Not high-impact | Science | Computer vision | Purchased from vendor |
| Google Vertex AI Document workbench [2024 INV#WO0000000154393] DOI-0242 · USGS | DOI | Pilot | Not high-impact | Science | Computer vision | Purchased from vendor |
| USGS Azure OpenAI ChatGPT [2024 INV#WO0000000154392] DOI-0241 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Purchased from vendor |
| Prioritized Constituents: Sediment [2024 INV#WO0000000109726] DOI-0237 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Data-Driven Streamflow Drought [2024 INV#WO0000000109714] DOI-0234 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| National-Extent Groundwater Quality Prediction for the National Water Census and Regional Integrated Water Availability Assessments [2024 INV#WO0000000109709] DOI-0233 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Use of artificial intelligence tools for optimization and documentation for computer codes [2024 INV#WO0000000109681] DOI-0232 · USGS | DOI | Pilot | Not high-impact | Science | Generative AI | Contract and in-house |
| Vegetation mapping on the Hawaiian island of Lanai [2024 INV#WO0000000109501] DOI-0229 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Population and critical habitat modeling of overwintering monarch butterflies [2024 INV#WO0000000109410] DOI-0227 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Automated otolith aging using image processing [2024 INV#WO0000000109315] DOI-0225 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Machine learning for tsunami source zones [2024 INV#WO0000000109313] DOI-0224 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Oceanographic, coastal, and geomorphic change analysis: data generation, QC/QA, and data management [2024 INV#WO0000000109310] DOI-0223 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Quantifying the effects of land-use change and bioenergy crop production on pollinators, wildlife, and ecosystem services in the Northern Great Plains [2024 INV#WO0000000109305] DOI-0222 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Computationally efficient emulation of spheroidal elastic deformation sources using machine learning [2024 INV#WO0000000109302] DOI-0221 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Machine Learning to evaluate water quality [2024 INV#WO0000000109241] DOI-0219 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Ecological niche models for bat species [2024 INV#WO0000000109233] DOI-0218 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Quantifying Watershed Controls on Fine Sediment Flux to Lake Tahoe, California/Nevada [2024 INV#WO0000000109215] DOI-0216 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Seismology of Magmatic Injection [2024 INV#WO0000000109214] DOI-0215 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Earthquake Catalog Development [2024 INV#WO0000000109208] DOI-0214 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Seedling Identification and Percent Growth Analysis [2024 INV#WO0000000109200] DOI-0213 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Gulf Coast Geologic Energy Machine Learning [2024 INV#WO0000000109198] DOI-0212 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Using machine learning to detect invasive bullfrogs [2024 INV#WO0000000109159] DOI-0210 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Deep Learning application for automated mapping of surficial landforms, surficial geological deposits, and abandoned mine sites from lidar-derived topography [2024 INV#WO0000000109153] DOI-0209 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Lava lake thermal pattern classification using self organizing maps and relationships to eruption processes at Kilauea Volcano, Hawaii [2024 INV#WO0000000109098] DOI-0204 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| InSAR and other geodetic studies at Volcanoes [2024 INV#WO0000000109093] DOI-0202 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Machine-learning model to delineate sub-surface agricultural drainage from satellite imagery [2024 INV#WO0000000109078] DOI-0199 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Extracting robust, searchable data from narrative geologic descriptions [2024 INV#WO0000000109022] DOI-0197 · USGS | DOI | Pilot | Not high-impact | Science | Generative AI | Developed in-house |
| Classifying GPS data to understand flight behavior of birds [2024 INV#WO0000000109015] DOI-0196 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Whole-lake indexing of round goby abundances with photographic catch data [2024 INV#WO0000000109010] DOI-0195 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Predicting PFAS in shallow soils in northern New England [2024 INV#WO0000000108973] DOI-0194 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Improving accuracy and precision of sonar-based estimates of fish abundance [2024 INV#WO0000000108800] DOI-0193 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Machine learning-based landscape feature classification using satellite and airborne imagery [2024 INV#WO0000000108791; 2024 INV#WO0000000108794] DOI-0192 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Purchased from vendor |
| Predicting PFAS occurrence in groundwater using machine learning [2024 INV#WO0000000108780] DOI-0191 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Machine Learning Image Classification of Wetlands and Soil moisture [2024 INV#WO0000000108779] DOI-0190 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Contract and in-house |
| Inventorying landforms with convolutional neural networks [2024 INV#WO0000000108738; WO0000000109117] DOI-0188 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Shoreline modeling [2024 INV#WO0000000108297; 2024 INV#WO0000000109312] DOI-0185 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |