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 |
|---|---|---|---|---|---|---|
| RCRA PA 78 · OECA | EPA | Deployed | High-impact | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Rangeland Condition Monitoring Assessment and Projection (RCMAP) [2024 INV#WO0000000107126] DOI-0171 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Pathogen identification in salmon DOI-0071 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Audit Green Book Classification SBA-3 · OCFO: Office of the Chief Financial Officer | SBA | Pre-deployment | Not high-impact | Service Delivery | Classical / predictive ML | Developed in-house |
| Internal OFO Chatbot Recommender SBA-4 · OFO: Office of Field Operations | SBA | Pre-deployment | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| 7(a) Purchases ML Model SBA-7 · OCA: Office of Capital Access | SBA | Pre-deployment | Not high-impact | Service Delivery | Classical / predictive ML | Developed in-house |
| Machine Learning based shoreline detection and sea ice dynamics using coastal cameras [2024 INV#WO0000000108008] DOI-0166 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Tsunami Hazard Analysis [2024 INV#WO0000000108470] DOI-0165 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Determining the resource potential of critical minerals in seafloor massive sulfide deposits [2024 INV#WO0000000109311] DOI-0163 · USGS | DOI | Pre-deployment | Not high-impact | Energy and the Environment | Classical / predictive ML | Developed in-house |
| Lead attribution model DOI-0152 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| [Un]supervised clustering of [non-]earthquake signals commonly recorded on regional seismic networks DOI-0121 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Inference of PFAS precursor compositions DOI-0110 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
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