Sponsors (2)
The bill modernizes regulatory review—making rules machine-readable and mandating tech/AI-driven retrospective review to reduce burdens and increase transparency—but does so at cost and risk: tight deadlines, potential AI bias, privacy/security concerns, and implementation expenses that could strain agencies and taxpayers.
Taxpayers and small-business owners will find federal regulations easier to search, analyze, and reuse because agencies must publish rules in machine-readable form.
Small businesses and taxpayers may face lower regulatory burden over time because agencies are required to use technology and AI for retrospective regulatory review to identify obsolete or duplicative rules.
Taxpayers benefit from increased transparency and stronger congressional oversight because agencies must prepare plans and timely implement regulatory review processes.
Use of algorithmic tools and AI in regulatory review could produce biased or erroneous results, risking improper removal or alteration of rules.
Tight statutory deadlines (e.g., 180 days, 18 months, 2 years) may strain agency capacity and lead to cursory reviews or checklist compliance, reducing review quality.
Agencies will incur costs to procure technology, train staff, and produce/implement plans, potentially increasing federal spending or diverting resources from other programs.
Based on analysis of 2 sections of legislative text.
Requires OIRA reports and guidance to modernize machine-readable regulations and use technology (including AI) for retrospective regulatory review, and mandates agency implementation plans and timelines.
Official title: Improve retrospective reviews of Federal regulations, and for other purposes.
Introduced February 20, 2025 by Mike Lee · Last progress February 20, 2025
Requires OMB/OIRA to report on how well federal agencies make their regulations available in machine-readable form and on recognizing the electronic Code of Federal Regulations (eCFR) as an official legal edition. Directs OIRA to issue guidance on using technology — including algorithmic tools and AI — and workforce training to conduct retrospective regulatory reviews, and requires each agency to submit and then carry out an implementation plan identifying regulations for post-issuance review.