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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
USDA · USDA-138 · record R1436

Policy Analysis

Department of Agriculture · Natural Resources and Environment

Overview

Development stage
DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
2025-08-01 (day precision)Source: 8/1/2025
Withheld from public reporting
Not reported

Mission

Topic area
Other
Operational functions
No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Review roughly 1500 handbooks and policies to identify any duplications and perform information extraction for analysis.

Expected benefits

Decrease time requirement and increase effectiveness of policy and handbook reviews

System outputs

Returns extracts and various text segments from statutes, regulations, executive orders, secretary memos, and department directives.

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)
Advanced platform for Technical Learning and Analytics in the Sciences (ATLAS)
Custom-developed code
Yes
Public source code
Not reported

Sourcing

How it was built
Developed in-houseSource: b) Developed in-house
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
Yes
Demographic features
k) None of the above
Training and evaluation data
Forest Service Policy and Handbooks.
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.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported