Use modern AI/ML approaches to gain insight into USGS unstructured data such as text [2024 INV#WO0000000131706]

Overview

Development stage

In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

Not reported

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Science

Operational functions

Search and knowledge retrieval Derived by keyword rules; see methodology

Problem the AI is intended to solve

There are a lot of unstructured data within USGS. Current efforts are to manually extract and analyze that data. We want to apply modern AI/ML approaches such as RAG (Retrieval-Augmented Generation) to gain insights from that unstructured data.

Expected benefits

gain insights from that unstructured data

System outputs

Develop AI/ML approaches such as RAG (Retrieval-Augmented Generation) to gain insights from that unstructured data

Technology

AI classification

Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…

System name(s)

Not reported

Custom-developed code

No

Public source code

Not reported

Sourcing

How it was built

Purchased from vendorSource: a) Purchased from a vendor

Vendor (as reported)

Not reported

Vendors (standardized)

None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

No

Privacy Impact Assessment

Not reported

Authorization to Operate

No

Demographic features

Not reported

Training and evaluation data

Not reported

Federal Data Catalog

Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Potential impacts and how they were identified

Not reported