OMB Individually Reported
Mineral Resource Assessments
Low riskExact public inventory row
Description
Mineral resource assessments require a significant amount of data evaluation and processing.
Detailed example
Increased efficiency in generating mineral resource assessments.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
AI-assisted methods are used to modernize assessment methodologies and capacity, allowing the USGS to meet the increasing demand for critical mineral assessments more efficiently.
Controls / human review
ATO: No; PIA: Not published