AI Use Cases

Use case	Agency	Stage	High-impact	Topic area	AI classification	Sourcing
Rangeland Condition Monitoring Assessment and Projection (RCMAP) [2024 INV#WO0000000107126] DOI-0171 · USGS	DOI	Deployed	Not high-impact	Science	Classical / predictive ML	Developed in-house
Pathogen identification in salmon DOI-0071 · USGS	DOI	Pilot	Not high-impact	Science	Classical / predictive ML	Developed in-house
Audit Green Book Classification SBA-3 · OCFO: Office of the Chief Financial Officer	SBA	Pre-deployment	Not high-impact	Service Delivery	Classical / predictive ML	Developed in-house
Internal OFO Chatbot Recommender SBA-4 · OFO: Office of Field Operations	SBA	Pre-deployment	Not high-impact	Administrative Functions	Classical / predictive ML	Developed in-house
7(a) Purchases ML Model SBA-7 · OCA: Office of Capital Access	SBA	Pre-deployment	Not high-impact	Service Delivery	Classical / predictive ML	Developed in-house
AI Resolution Notes Generation SBA-36 · OCIO: Office of the Chief Information Officer	SBA	Pre-deployment	Not high-impact	Cybersecurity	Classical / predictive ML	Purchased from vendor
AI Vulnerability Ticket Deduplication SBA-37 · OCIO: Office of the Chief Information Officer	SBA	Pre-deployment	Not high-impact	Cybersecurity	Classical / predictive ML	Purchased from vendor
AI Vulnerability Remediation Assistance SBA-38 · OCIO: Office of the Chief Information Officer	SBA	Pre-deployment	Not high-impact	Cybersecurity	Classical / predictive ML	Purchased from vendor
Multi-Agent Orchestration SBA-40 · OCIO: Office of the Chief Information Officer	SBA	Pre-deployment	Not high-impact	Service Delivery	Classical / predictive ML	Contract and 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
Lead attribution model DOI-0152 · USGS	DOI	Pre-deployment	Not high-impact	Science	Classical / predictive ML	Not reported
[Un]supervised clustering of [non-]earthquake signals commonly recorded on regional seismic networks DOI-0121 · USGS	DOI	Pre-deployment	Not high-impact	Science	Classical / predictive ML	Not reported
Inference of PFAS precursor compositions DOI-0110 · USGS	DOI	Pre-deployment	Not high-impact	Science	Classical / predictive ML	Not reported