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 |
|---|---|---|---|---|---|---|
| Object Detection Tool 1 DOJ-0277 · Department of Justice / FBI | DOJ | Deployed | Not high-impact | Law Enforcement | Classical / predictive ML | Purchased from vendor |
| NetDocuments DOJ-0279 · Department of Justice / OPR | DOJ | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| Microsoft Office 365, Teams, and Windows default features DOJ-0281 · Department of Justice / Department Wide | DOJ | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| Geospatial Tools DOJ-0293 · Department of Justice / Department wide | DOJ | Deployed | Not high-impact | Law Enforcement | Classical / predictive ML | Purchased from vendor |
| FOIA Production Tools DOJ-0295 · Department of Justice / Department wide | DOJ | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| Entity Resolution DOJ-0299 · Department of Justice / FBI | DOJ | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Developed in-house |
| Business Intelligence Tools DOJ-0320 · Department of Justice / Department wide | DOJ | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Purchased from vendor |
| The Advanced Trade Analytics Platform (ATAP) DHS-101 · CBP | DHS | Deployed | Presumed high-impact, determined not | International Affairs | Classical / predictive ML | Contract and in-house |
| Entity Resolution DHS-24 · CBP | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Autonomous Surveillance Tower DHS-35 · CBP | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Purchased from vendor |
| Automated Item of Interest Detection DHS-37 · CBP | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Aircraft Landing Location Predictor (KESTREL) DHS-65 · CBP | DHS | Deployed | Presumed high-impact, determined not | Transportation | Classical / predictive ML | Purchased from vendor |
| Passport Anomaly Model DHS-81 · CBP | DHS | Deployed | Presumed high-impact, determined not | 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 |
| Investigative Prioritization Aggregator DHS-125 · ICE | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Entity Resolution for Global Trade Data DHS-2547 · ICE | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Purchased from vendor |
| Blockchain Analysis DHS-2575 · ICE | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Purchased from vendor |
| User and Entity Behavior Analytics (UEBA) DHS-2434 · MGMT | DHS | Deployed | Presumed high-impact, determined not | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| Biometrics Enrollment Tool (BET) Fingerprint Quality Check DHS-14 · USCIS | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Automated Name and Date of Birth (DOB) Harvesting Service DHS-180 · USCIS | DHS | Deployed | Presumed high-impact, determined not | Service Delivery | Classical / predictive ML | Contract and in-house |
| 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 |
| Person-Centric Identity Services Information Compilation Check DHS-56 · USCIS | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Cyber Threat Analysis (Recorded Future) DHS-399 · CBP | DHS | Deployed | Not high-impact | Law Enforcement | Classical / predictive ML | Purchased from vendor |
| Empty Container Detection Model (Cargo Insights Team) DHS-68 · CBP | DHS | 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 |
| Public Assistance Workload Projections DHS-2720 · FEMA | DHS | Deployed | Not high-impact | Emergency Management | Classical / predictive ML | Developed in-house |
| Individual Assistance (IA) Predictive Models for Program Quantities DHS-2722 · FEMA | DHS | Deployed | Not high-impact | Emergency Management | Classical / predictive ML | Developed in-house |
| AI Assisted Compromise Email Detector (AACED) DHS-2424 · ICE | DHS | Deployed | Not high-impact | Cybersecurity | Classical / predictive ML | Developed in-house |
| Cybersecurity Threat Management, Detection, and Response DHS-2426 · ICE | DHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| Normalization Services DHS-P1 · ICE | DHS | Deployed | Not high-impact | Law Enforcement | Classical / predictive ML | Contract and in-house |
| AdaptiveMFA DHS-419 · MGMT | DHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Airport Throughput Predictive Model DHS-2432 · TSA | DHS | Deployed | Not high-impact | Administrative Functions | 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 |
| ELIS Evidence Classifier Service DHS-16 · USCIS | DHS | Deployed | Not high-impact | Service Delivery | Classical / predictive ML | Contract and in-house |
| Streamflow Duration Assessment Modeling 25 · OW | EPA | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Microsoft Power Automate (custom document processing model) 35 · OFA | EPA | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| Helpdesk chat assistant for common data system tasks 39 · OFA | EPA | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Contract and in-house |
| Living Literature Review: Semi-automated Literature Screening 76 · OAR | EPA | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Using machine learning methods to analyze drivers of water quality 77 · AO | EPA | Deployed | Not high-impact | Energy and the Environment | Classical / predictive ML | Developed in-house |
| Machine Learning Data Validation NCUA_E&I-01 · NCUA|E&I | NCUA | Deployed | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Developed in-house |
| Supervisory Stress Testing NCUA_ONES-02 · NCUA|ONES | NCUA | Deployed | High-impact | Procurement and Financial Management | Classical / predictive ML | Developed in-house |
| Automated Walrus Haulout Monitoring [2024 INV#WO0000000110052] DOI-0247 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| PAWSC Ecotoxicology PFAS Machine Learning [2024 INV#WO0000000112908] DOI-0238 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Delineating sub-surface drainage using satellite imagery [2024 INV#WO0000000109525] DOI-0230 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Oil Spill Response for Ice-Covered Rivers [2024 INV#WO0000000109142] DOI-0208 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Pacific Northwest Stream Flow Permanence [2024 INV#WO0000000109137] DOI-0207 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Climate Futures for Lizards and Snakes in Western North America [2024 INV#WO0000000109092] DOI-0201 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Using Machine Learning in USGS StreamStats to make suspended sediment and bedload predictions [2024 INV#WO0000000107977] DOI-0176 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |