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AI framework audits EPA rulemaking responsiveness to public comments

A new framework for auditing regulatory responsiveness has been developed, utilizing AI to analyze public comments and their impact on specific regulatory obligations. This framework was applied to over 70,000 comments submitted to 36 EPA rulemakings, revealing that while engagement is associated with modest revisions, the direction of support or opposition does not clearly predict outcomes. The study also found that organizational commenters tend to focus on editorial refinements rather than substantive modifications at a cross-docket level, highlighting an equity asymmetry in the capacity to influence regulations. AI

IMPACT This framework could enable more equitable and effective public participation in regulatory processes by identifying and addressing disparities in commenter capacity.

RANK_REASON Academic paper introducing a new framework and methodology for analyzing regulatory processes. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CL →

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AI framework audits EPA rulemaking responsiveness to public comments

COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Jianing Fan, Yue Yao ·

    Who Gets Heeded? An Obligation-Level Audit of Responsiveness in EPA Rulemaking

    arXiv:2608.10329v1 Announce Type: cross Abstract: Notice-and-comment rulemaking gives any affected party the same formal right to influence federal regulation, but formal access is not substantive capacity to shape rule text. Existing strategies operate at the rule or aggregate-c…