Using Generative AI for Stance Analysis of Public Comments on CDC’s Proposed Rules
Description
Manual review of public comments for rulemaking is labor-intensive and time-consuming due to the volume and diversity of responses. The AI system automates stance analysis and topic modeling to improve efficiency, accuracy, and insight in the review process.
Detailed example
The system uses generative AI to analyze public comments, providing outputs such as stance (support/oppose/neutral), topics, and sentiment for each comment. These outputs aid regulatory analysts in reviewing and summarizing public feedback.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
The AI system can save significant time for CDC’s public policy experts by automating the categorization and stance analysis of public comments, enabling faster and more comprehensive insight gathering for regulatory analysis. This supports compliance with legal requirements and improves the quality of public policy review.
Controls / human review
ATO: No; PIA: Not published
Data needed
Public comments submitted in response to CDC’s proposed rules.