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 |
|---|---|---|---|---|---|---|
| PII Redaction DOL-22 · OSHA | DOL | Deployed | High-impact | Cybersecurity | Natural language processing | Contract and in-house |
| Hurricane Score DHS-2408 · ICE | DHS | Deployed | High-impact | Law Enforcement | Classical / predictive ML | Developed in-house |
| Facial Recognition for Locating Vulnerable Populations DHS-2457 · ICE | DHS | Deployed | High-impact | Law Enforcement | Computer vision | Purchased from vendor |
| Facial Recognition for National Security Investigations DHS-2458 · ICE | DHS | Deployed | High-impact | Law Enforcement | Computer vision | Purchased from vendor |
| Facial Recognition for Investigations of Transnational Criminal Organizations DHS-2459 · ICE | DHS | Deployed | High-impact | Law Enforcement | Computer vision | Purchased from vendor |
| Facial Recognition for Investigations of Child Sexual Exploitation and Abuse DHS-362 · ICE | DHS | Deployed | High-impact | Law Enforcement | Computer vision | Purchased from vendor |
| RCRA PA 78 · OECA | EPA | Deployed | High-impact | Law Enforcement | Classical / predictive ML | Contract and in-house |
| use of random forest for species distribution modeling DOI-0161 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Global food-and-water security-support analysis data (GFSAD) project [2024 INV#WO0000000107073] DOI-0095 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Frog vocalization recognition from digital recordings DOI-0092 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Patterns in the Landscape – Analyses of Cause and Effect DOI-0090 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Submersed Aquatic Vegetation Vulnerability Evaluation Application (SAVVEA) DOI-0081 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| U.S. Wind Turbine Database DOI-0080 · USGS | DOI | Deployed | Not high-impact | Energy and the Environment | Computer vision | Developed in-house |
| Machine learning in remote sensing-based wildfire and natural resource risk assessments DOI-0072 · USGS | DOI | Deployed | Not high-impact | Emergency Management | Classical / predictive ML | Developed in-house |
| Telemetry Analysis Learning Algorithm (TALA) DOI-0070 · USGS | DOI | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| LANDFIRE DOI-0069 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| DocketScope DOI-0040 · FWS | DOI | Deployed | Not high-impact | Administrative Functions | Natural language processing | Purchased from vendor |
| Pre-Effectuation Review (PER) / Targeted Denial Review (TDR) Models R3100 · Chief Information Officer, Analytics and Improvements | SSA | Deployed | High-impact | Government Benefits Processing | Classical / predictive ML | Developed in-house |
| ServiceNow Predictive Intelligence DOE-430 · LANL - Los Alamos National Lab (LAFO) | DOE | Deployed | Not high-impact | Information Technology | Generative AI | Purchased from vendor |
| NLCOO AI for Lessons Learned tool DOE-434 · LANL - Los Alamos National Lab (LAFO) | DOE | Deployed | Not high-impact | Other | Natural language processing | Developed in-house |
| Hanford Ai Liaison (HAL) 1.1 DOE-469 · RL - Hanford - Richland Operations Office - Hanford (EM) | DOE | Deployed | Not high-impact | Administrative Functions | Generative AI | Developed in-house |
| LANL AI Portal DOE-495 · LANL - Los Alamos National Lab (LAFO) | DOE | Deployed | Not high-impact | Administrative Functions | Generative AI | Developed in-house |
| ChatGPT Enterprise DOE-498 · LANL - Los Alamos National Lab (LAFO) | DOE | Deployed | Not high-impact | Administrative Functions | Generative AI | 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 |
| Deep Learning based image segmentation [2024 INV#WO0000000107975] DOI-0175 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Foundation Models to Advance Earth Science [2024 INV#WO0000000107153] DOI-0172 · USGS | DOI | Pilot | Not high-impact | Science | Generative AI | Developed in-house |
| LLM-Assisted Volcanic Alert Monitoring DOI-0109 · USGS | DOI | Pilot | Not high-impact | Science | Natural language processing | Developed in-house |
| Reducing elevation error in coastal wetland digital elevation models DOI-0088 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Developing land cover maps for barrier islands using satellite imagery DOI-0087 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Invasive Carp Harvest Predictive Model DOI-0061 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Flor-AI: Developing a Remotely Sensed Image Classification Method for Inventory and Monitoring of Flora in Digital UAS Imagery DOI-0079 · USGS | DOI | Pilot | Not high-impact | Energy and the Environment | Computer vision | Developed in-house |
| Automating the Detection and Classification of Wildlife in Aerial Imagery [2024 INV#WO0000000109409] DOI-0075 · USGS | DOI | Pilot | Not high-impact | Energy and the Environment | Computer vision | Developed in-house |
| Automated identification of ducks from hunter-submitted photos using deep learning models DOI-0074 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Automated photographic identification of Eastern box turtles DOI-0073 · USGS | DOI | Pilot | Not high-impact | Science | Computer vision | Developed in-house |
| Pathogen identification in salmon DOI-0071 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Chatbots for internal research SBA-11 · Advocacy: Office of Advocacy | SBA | Pilot | Not high-impact | Administrative Functions | Generative AI | Purchased from vendor |
| General AI Use Case across the SBA for web and desktop SBA-22 · OCIO: Office of the Chief Information Officer | SBA | Pilot | Not high-impact | Administrative Functions | Generative AI | Purchased from vendor |
| Email, Document, and Composing AI Editor SBA-23 · OCPL: Office of Communications & Public Liaison | SBA | Pilot | Not high-impact | Service Delivery | Classical / predictive ML | Purchased from vendor |
| Customer Response SBA-10 · OFO: Office of Field Operations | SBA | Pre-deployment | Not high-impact | Administrative Functions | Generative AI | Purchased from vendor |
| Office of Field Operations AI - Chat GTP, Bing CoPilot, or Google Gemini SBA-12 · OFO: Office of Field Operations | SBA | Pre-deployment | Not high-impact | Service Delivery | Generative AI | Purchased from vendor |
| Gemini AI for Strategic Planning SBA-16 · OFO: Office of Field Operations | SBA | Pre-deployment | Not high-impact | Service Delivery | Generative AI | Purchased from vendor |
| Security Team Productivity Enhancement SBA-21 · OCIO: Office of the Chief Information Officer | SBA | Pre-deployment | Not high-impact | Cybersecurity | Generative AI | Purchased from vendor |
| Employee Work Prioritization AI Agent SBA-25 · OCIO: Office of the Chief Information Officer | SBA | Pre-deployment | Not high-impact | Administrative Functions | Generative AI | Purchased from vendor |
| Data Analysis and Visualization AI SBA-32 · OCFO: Office of the Chief Financial Officer | SBA | Pre-deployment | Not high-impact | Information Technology | Generative AI | Purchased from vendor |
| Hanford Ai Liaison (HAL) 2.0 DOE-653 · RL - Hanford - Richland Operations Office - Hanford (EM) | DOE | Pre-deployment | Not high-impact | Administrative Functions | Generative AI | Developed in-house |
| Data-driven approaches to filling missing time-series data within the San Francisco Bay-Delta [2024 INV#WO0000000107683; INV#WO0000000107488] DOI-0174 · USGS | DOI | Pre-deployment | Not high-impact | Science | 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 |
| Feature extraction and characterization for update of The National Map DOI-0131 · USGS | DOI | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Not reported |
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