OMB Individually Reported

Use of Natural Language Processing for Topic Modeling to Automate Review of Public Comments to Notice of Proposed Rulemaking

Low riskExact public inventory row

Description

Manual review of large volumes of public comments for Notices of Proposed Rulemaking is labor-intensive and time-consuming. The AI is intended to organize and cluster comments by theme, improving the efficiency and effectiveness of manual review and ensuring all topics are accurately reported.

Detailed example

The AI generates clusters of similar public comments, organized by theme, to aid in manual review.

AI / analytics pattern

Natural Language Processing: AI that processes, interprets, and shares information in human language.

Automation level / stage

b) Pilot – The use case has been deployed in a limited test or pilot capacity.

Expected benefit

The AI system will enhance the speed and quality of manual review of public comments, enable better thematic organization, and reduce the burden on staff. This supports compliance with legal requirements for public comment review and improves the insights gained from public input.

Controls / human review

ATO: Yes; PIA: Not published

Data needed

Not specified