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 |
| Southwest Border Transaction Record Analysis Center (SWBTRAC) DOJ-0029 · Department of Justice / ATF | DOJ | Deployed | Presumed high-impact, determined not | Procurement and Financial Management | Classical / predictive ML | Purchased from vendor |
| TransUnion TLOxp Online Investigative Services DOJ-0032 · Department of Justice / ATF | DOJ | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Purchased from vendor |
| 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 Security Assessment Model DHS-2390 · CBP | DHS | Deployed | High-impact | Law Enforcement | Classical / predictive ML | Developed in-house |
| Agriculture Commodity Model (AGC) DHS-86 · CBP | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Developed in-house |
| Trade Entity Risk Model DHS-95 · CBP | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Developed in-house |
| User and Entity Behavior Analytics (UEBA) DHS-2434 · MGMT | DHS | Deployed | Presumed high-impact, determined not | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| User Entity and Behavior Analytics (UEBA) for Security Operations (SecOps) Anomaly Identification DHS-372 · USCIS | DHS | Deployed | Presumed high-impact, determined not | Cybersecurity | Classical / predictive ML | Contract and 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 |
| RCRA PA 78 · OECA | EPA | Deployed | High-impact | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Proactive Triage and Analysis of Hearings (PATH) R3103 · Chief Information Officer, Analytics and Improvements | SSA | Deployed | High-impact | Government Benefits Processing | 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 |
| Heuristic Behavior Analytics VA-25-2537 · OIT: Office of Information & Technology | VA | Deployed | High-impact | Cybersecurity | Classical / predictive ML | Purchased from vendor |
| VA CART SYNTAX Risk Model VA-24-5542 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| VA CART Mortality Model VA-24-5583 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| VA CART Nephropathy Risk Model VA-24-5624 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| VA CART Bleeding Risk Model VA-24-5788 · VHA: Veterans Health Administration | VA | Deployed | High-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Risk Rating Model FRB-0050 · Division of Supervision and Regulation | FRB | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Secure Access Service Edge (SASE) VA-25-6479 · OIT: Office of Information & Technology | VA | Pilot | High-impact | Cybersecurity | Classical / predictive ML | Purchased from vendor |
| 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 |
| AI-driven Fraud Detection DOJ-0339 · Department of Justice / CIV | DOJ | Pre-deployment | High-impact | Law Enforcement | 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 |
| Fall Prediction Tool VA-24-5579 · VHA: Veterans Health Administration | VA | Pre-deployment | High-impact | Health and Medical | Classical / predictive ML | Not reported |
| EEO Consultation and Guidance VA-25-13 · VHA: Veterans Health Administration | VA | Pre-deployment | High-impact | Human Resources | 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 |
Showing 1 to 38 of 38 recordsPage 1 of 1