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 |
|---|---|---|---|---|---|---|
| Duplicate Identification Process R3097 · Chief Information Officer | SSA | Deployed | Not high-impact | Government Benefits Processing | Classical / predictive ML | Purchased from vendor |
| Modernized Development Worksheet (MDW) R3099 · Chief Information Officer, Analytics and Improvements | SSA | Deployed | Not high-impact | Government Benefits Processing | Classical / predictive ML | Developed in-house |
| PolicyNet Plain Language Search Engine R3108 · Chief Information Officer | SSA | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| Benefit and Earnings Public Use File R3111 · Chief Information Officer, Analytics and Improvements | SSA | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Application Observability Support R3117 · Chief Information Officer, System Operations and Hardware En | SSA | Deployed | Not high-impact | Cybersecurity | Classical / predictive ML | Purchased from vendor |
| Automatic PSC Classification FTC-0001 · BCP/DCRO | FTC | Deployed | Not high-impact | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Group Duplicate Complaints FTC-0002 · BCP/DCRO | FTC | Deployed | Not high-impact | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Relativity Active Learning FTC-0008 · BC/BCP/OGC | FTC | Deployed | Not high-impact | Law Enforcement | Classical / predictive ML | Purchased from vendor |
| FA.gov RedactAid R3241 · F/FAO | STATE | Deployed | Not high-impact | International Affairs | Classical / predictive ML | Contract and in-house |
| Utility Invoices Data Extraction R3250 · MGT | STATE | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| Machine Learning for geophysical data inversion DOE-195 · NETL - National Energy Technology Laboratory (FECM) | DOE | Deployed | Not high-impact | Energy and the Environment | 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 |
| Elucidating Genetic and Environmental Risk Factors for Antipsychotic-induced Metabolic Adverse Effects Using AI DOE-351 · PNNL - Pacific Northwest National Laboratory (SC43 OIM) | DOE | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Physics-Informed Learning Machines for Multiscale and Multiphysics Problems (PhILMs) DOE-356 · PNNL - Pacific Northwest National Laboratory (SC43 OIM) | DOE | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Regional waste feedstock conversion to biofuels DOE-358 · PNNL - Pacific Northwest National Laboratory (SC43 OIM) | DOE | Deployed | Not high-impact | Energy and the Environment | Classical / predictive ML | Developed in-house |
| Machine Learning components within Splunk Enterprise Security DOE-456 · SLAC - SLAC National Accelerator Laboratory (SC43 OIM) | DOE | Deployed | Not high-impact | Cybersecurity | Classical / predictive ML | Purchased from vendor |
| Machine Learning components within CrowdStrike DOE-458 · SLAC - SLAC National Accelerator Laboratory (SC43 OIM) | DOE | Deployed | Not high-impact | Cybersecurity | Classical / predictive ML | Purchased from vendor |
| OPQ-AI DOE-477 · ANL - Argonne National Laboratory (SC43 OIM) | DOE | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| ServiceNow Classification Prediction DOE-563 · LANL - Los Alamos National Lab (LAFO) | DOE | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Purchased from vendor |
| Elastic Stack Technology (ELK) DOE-57 · Y-12 - Consolidated Nuclear Security Y-12 (YFO) | DOE | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Purchased from vendor |
| Cognitive Prescreen Tool (CPT) DOE-59 · Y-12 - Consolidated Nuclear Security Y-12 (YFO) | DOE | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Developed in-house |
| AI and natural-language powered search DOE-595 · EE HQ - EE Headquarters (EE) | DOE | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Purchased from vendor |
| Invoice Scanning System DOE-632 · RL - Hanford - Richland Operations Office - Hanford (EM) | DOE | Deployed | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Developed in-house |
| ServiceNow Cluster Analysis DOE-637 · LANL - Los Alamos National Lab (LAFO) | DOE | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Purchased from vendor |
| high level synthesis for machine learning (previously hls4ml) DOE-64 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| ServiceNow Similarity Analysis DOE-643 · LANL - Los Alamos National Lab (LAFO) | DOE | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Purchased from vendor |
| Georeference Figures DOE-645 · LM HQ - Office of Legacy Management (LM) | DOE | Deployed | Not high-impact | Energy and the Environment | Classical / predictive ML | Purchased from vendor |
| pComply-AI-High Risk DOE-658 · ANL - Argonne National Laboratory (SC43 OIM) | DOE | Deployed | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Developed in-house |
| Groundwater Modeling DOE-659 · LM HQ - Office of Legacy Management (LM) | DOE | Deployed | Not high-impact | Energy and the Environment | Classical / predictive ML | Purchased from vendor |
| OpenText for Records Management (File share auto-classification) DOE-665 · EE HQ - EE Headquarters (EE) | DOE | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Purchased from vendor |
| READS: Real-time Edge AI for Distributed Systems DOE-70 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Adobe Photoshop AI (AI Plugin) NIGC-2 | NIGC | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| Microsoft Copilot NIGC-3 | NIGC | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| Canva NIGC-4 | NIGC | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| Articulate NIGC-5 | NIGC | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| Financial Background Investigation FDIC-61 · Division of Administration | FDIC | Deployed | Not high-impact | Human Resources | Classical / predictive ML | Purchased from vendor |
| Certified Professional Controller (CPC) On-Board Success Evaluator DOT-1000008 · FAA AJO | DOT | Deployed | Not high-impact | Transportation | Classical / predictive ML | Contract and in-house |
| Analytics, Data, and Decision Support Unified Platform (ADDSUP) VA-24-1815 · OALC: Office of Acquisitions Logistics, and Construction | VA | Deployed | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Contract and in-house |
| VA Section 508 Office URL Ownership Prediction Model VA-24-1897 · OIT: Office of Information & Technology | VA | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Developed in-house |
| Veteran Experience Office Retention/Trust Models in Customer Experience Insights VA-25-5411 · OIT: Office of Information & Technology | VA | Deployed | Not high-impact | Other | Classical / predictive ML | Contract and in-house |
| Auto Doc ID VA-25-733 · VBA: Veterans Benefits Administration | VA | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Purchased from vendor |
| UiPath Document Understanding VA-24-1323 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Other | Classical / predictive ML | Purchased from vendor |
| LINQ II Insertable Cardiac Monitor VA-24-2713 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Purchased from vendor |
| BTSSS 3542 Review VA-24-3738 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| PII in Foreign Medical Program (FMP) Faxes VA-25-7221 · VHA: Veterans Health Administration | VA | Deployed | Not high-impact | Government Benefits Processing | Classical / predictive ML | Contract and in-house |
| Design Optimization of Turbomachinery Rotor Blades using Neural Network Surrogate Models NASA-526 · GRC: Glenn Research Center | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Implement machine learning in NMIS to assist with mishap coding NASA-545 · OSMA: Office of the Chief Safety & Mission Assurance | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Adaptive Problem Solving / Hyperparameter Optimization NASA-809 · JPL: Jet Propulsion Laboratory | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Time Series Forecasting, Evaluation and Deployment (Time-FED) NASA-814 · JPL: Jet Propulsion Laboratory | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| AI Risk-aware task and motion planning for snake-like robots in icy enviroments NASA-815 · JPL: Jet Propulsion Laboratory | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |