Topical Series
A Boston Globe editorial argues that Massachusetts should use AI to identify outdated laws, unnecessary reporting requirements, and inefficient regulations, drawing on reforms and pilot programs in other states. Featuring insights from Beth Simone Noveck and Stanford RegLab, it explains how AI-assisted review, paired with human judgment, could reduce administrative burdens and improve government efficiency.
In a new piece for the Rethinking Regulation series, Dane Gambrell examines how San Francisco used a custom AI tool developed with Stanford’s RegLab to scan 16 million words of municipal code and identify hundreds of outdated and duplicative reporting requirements across city government. The effort ultimately produced a 351-page ordinance proposing the deletion or consolidation of 174 mandates. The piece offers a grounded look at how AI can help governments make sprawling bureaucratic systems more legible and manageable.
A new entry in our Rethinking Regulation series, this in-depth case study by Dane Gambrell includes an interview with Reeve Bull, who led the state’s regulatory modernization effort. It traces how Virginia used AI to review decades of accumulated rules, cut regulatory requirements by over a third, and make them clearer and more accessible. It shows how governments can pair strong institutional processes with AI to modernize regulation and improve how it works for the public.
Developed by the International Training Centre of the International Labour Organization with and for employer organizations, ReguLens responds to a growing policy bottleneck. The rapid surge in complex, overlapping regulations is outpacing institutional capacity. Built through iterative co-creation with users across regions, the tool helps organizations analyze proposals, identify impacts, and engage earlier in policy debates.
What if the problem with government wasn’t too many rules, but how they’re organized? Boston’s permitting overhaul with AI for Impact shows how AI and collective intelligence can simplify the user experience without eroding the safeguards that matter.
Governments are increasingly using AI to identify redundant, outdated, and burdensome regulations. But efficiency alone is not reform: without public judgment, simplification can weaken essential protections. The Green Tape Challenge shows how pairing AI with collective intelligence can modernize regulation while preserving legitimacy, equity, and purpose.From Red Tape to Green Tape: Decluttering the State with AI and Collective Intelligence
InnovateUS