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 |
|---|---|---|---|---|---|---|
| AI-assisted comment triaging tool R0740 · HHS/CMS/CM | HHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Docketscope Public Comment Processing R0762 · HHS/CMS/CM | HHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| Filer Evaluation prioritization using risk-based decision Machine Learning approach R0878 · HHS/FDA/OII | HHS | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Contract and in-house |
| GrantSolutions Recipient Risk Tool R1033 · HHS/ASFR/OG | HHS | Deployed | Not high-impact | Service Delivery | Classical / predictive ML | Contract and in-house |
| Prisoner Assessment Tool Targeting Estimated Risk and Needs (PATTERN) DOJ-0160 · Department of Justice / FBOP | DOJ | Deployed | Not high-impact | Law Enforcement | Classical / predictive ML | Developed in-house |
| Cargo Classification Tool DHS-94 · CBP | DHS | Deployed | Not high-impact | Law Enforcement | Classical / predictive ML | Developed in-house |
| Critical Infrastructure Network Anomaly Detection DHS-106 · CISA | DHS | Deployed | Not high-impact | Cybersecurity | Classical / predictive ML | Developed in-house |
| Adaptive Risk Model for Inspected Small Passenger Vessels DHS-178 · USCG | DHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| Network Security and Analysis DOE-347 · IM-60 - IM Enterprise Operations and Shared Services (IM) | DOE | Deployed | Not high-impact | Cybersecurity | Classical / predictive ML | Purchased from vendor |
| Risk Rating Model FRB-0050 · Division of Supervision and Regulation | FRB | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| AI Incident Management VA-25-651 · OIT: Office of Information & Technology | VA | Pilot | Not high-impact | Information Technology | Classical / predictive ML | Purchased from vendor |
| RAMjET: RApid Machine lEarned Triage - AI to classify astrophysical phenomena in photometric lightcurves NASA-182 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| MATISSE: MAchine inTelligence for Small SatellitEs - application of AI to permit autonomic science triage for small, power starved satellites NASA-646 · GSFC: Goddard Space Flight Center | NASA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
| Financial System Data Analysis FRB-0051 · Division of Financial Stability | FRB | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| Risk Identification and Response FDIC – 42 · Division of Finance | FDIC | Pre-deployment | Not high-impact | Other | Classical / predictive ML | Not reported |
| Malware Reverse Engineering DHS-107 · CISA | DHS | Pre-deployment | Not high-impact | Cybersecurity | Classical / predictive ML | Not reported |
| Program Integrity (RRAD-PI) AI Counter-Fraud Enhancement Measures DHS-2724 · FEMA | DHS | Pre-deployment | Not high-impact | Service Delivery | Classical / predictive ML | Not reported |
| CWA PA 79 · OECA | EPA | Pre-deployment | Not high-impact | Law Enforcement | Classical / predictive ML | Not reported |
| RMP Risk Modeling 82 · OECA | EPA | Pre-deployment | Not high-impact | Law Enforcement | Classical / predictive ML | Not reported |
| PestScore VA: AI-Driven Pest Risk Forecasting VA-25-4094 · VHA: Veterans Health Administration | VA | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
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