Artificial Intelligence

Ask Me Anything: Inviting, Summarizing and Responding to Public Comments

Led by: Michael A. Livermore , Alex Spangher & Bill Zipse

Moderated by Professor Beth Simone Noveck

Public comment is a cornerstone of democratic decision-making, yet government agencies often face two major challenges: encouraging meaningful participation and interpreting the often vast volume of responses they receive. This workshop explores how generative AI tools can support more inclusive, efficient, and insightful public engagement.

Join us for an interactive discussion on how to use AI to draft invitations for comment, and how — and when — to use it to summarize, categorize, and analyze public input. We’ll look at practical, do-it-yourself approaches for making sense of public feedback, including techniques for identifying themes, surfacing sentiment, and distilling expertise hidden in the comments.

We’ll also examine the ethical and governance implications of using AI in this context — from transparency and accountability to equity and trust. By the end of the session, participants will better understand both the opportunities and the limits of using AI to enhance democratic participation.

  • Explore how artificial intelligence is transforming the way governments invite, collect, and analyze public input on draft regulations, policies, and plans
  • Learn how to use AI to craft requests for comments, use AI to help spread the word about open comment periods to reach more diverse voices, encourage constructive feedback, and then process thousands of comments efficiently without losing nuance
  • Understand techniques for using AI to detect themes, synthesize insights, and surface patterns for decision-maker
This workshop is part of an InnovateUS Series called Democratic Engagement
View more workshops from Democratic Engagement
Michael A. Livermore

Professor of Law, University of Virginia School of Law

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Alex Spangher

Postdoctoral Scholar, Stanford University

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Bill Zipse

Supervising Forester, New Jersey Forest Service

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Format: online

Date & Time: November 18, 2025, 2:00 PM ET

Duration: 60-minutes

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