Government Innovation

Publication
HAI Policy Brief
June 2025
Publication
Nature Machine Intelligence
February 2024
Publication
Administrative Law Review
March 2025
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RegLab’s partnership with San Diego to use computer vision to improve road maintenance and resource allocation is discussed by the Bloomberg Cities Network.
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Stanford Report features RegLab’s work developing the Statutory Research Assistant (STARA) and an AI tool to identify racially restricted covenants.
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RegLab Policy Fellow Jennifer Pahlka highlights STARA in making the case for leveraging AI to improve governance.
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A policy brief introducing STARA, a novel AI tool that performs statutory surveys to help governments—such as the San Francisco City Attorney Office—identify policy sludge and accelerate legal reform.
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Dan Ho and other members of the RegLab team contributed to the report produced by the Joint California Policy Working Group on AI Frontier Models, which offers a policy framework for responsible, ethical, and safe use of AI.
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City Attorney David Chiu is working with RegLab to identify and delete old, redundant municipal code sections.
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Welcome to our newest cohort!
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Rebecca Lester discusses RegLab’s collaboration with the Internal Revenue Service (IRS) to apply cutting-edge techniques to efforts to close the gap between taxes owed and received.
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A new RegLab white paper assesses federal efforts to advance leadership on AI innovation and governance through recent executive actions and emphasizes the need for senior-level leadership to achieve a whole-of-government approach.
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Dan Ho offers behind the scenes insight into the AI bootcamp for California officials that RegLab co-hosted.
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Congratulations to Dr. Thomas Hertz, a Senior Economist at the IRS and RegLab collaborator! Bestowed annually by the Office of Management and Budget, the award recognizes “evaluation mavericks who think up creative and outside-the-box evaluation ideas, help design them, and see them through to execution.”
Publication
Journal of the Association of Environmental and Resource Economists
June 2024
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Nature Machine Intelligence
December 2023
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Penn Law Review
February 2024
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Congratulations to RegLab's Faculty Director on his election to the American Academy of Arts & Sciences!
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Mariano-Florentino Cuéllar, Dan Ho, Jennifer Pahlka, Amy Perez, Kit Rodolfa, and Gerald Ray draft guidance to the federal government on responsible use of AI.
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Professor Ho shared his expertise with the California State Senate through the joint hearing, “California at the Forefront: Steering AI Towards Ethical Horizons.”
Publication
Conference on Secure and Trustworthy Machine Learning
October 2023
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Named one of this year's 100 brilliant women in AI ethics
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A veterans benefits study led by Sandy Handan-Nader triggered a Government Accountability Office (GAO) inquiry, congressional hearing, and subsequent report.
Publication
HAI Policy Brief
November 2023
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SIL announced a commitment to support RegLab through its first-ever Stage 3: Amplify Impact round.
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SIEPR Policy Brief
September 2023
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In “Talent exchanges for state governments”, authors Daniel E. Ho, Anne Joseph O’Connell, and Isaac Cui make the case for a state version of the Federal Intergovernmental Personnel Act.
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Christie Lawrence and Isaac Cui won the Best Paper award from the AAAI/ACM Conference Artificial Intelligence, Ethics, and Society (AIES) for important work on understanding the capacity of federal agencies to implement binding AI governance measures!
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Meet our newest cohort!
Publication
Working Paper
January 2023
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HAI - RegLab White Paper
December 2022
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ACM AAAI (2023)
August 2022
Publication
Chapter for Brookings' Build Me the Evidence, (Tamar Bauer ed)
July 2022
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Journal of Law, Economics, and Organization (2024, Forthcoming)
April 2021
Publication
Stanford's Institute for Human-centered Artificial Intelligence White Paper
November 2020
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HAI Policy Briefs
September 2020
Publication
Big Data Law (Roland Vogl, ed., 2021)
March 2020
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Yale Journal on Regulation
August 2020
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The Hill
February 2020
Project
Revitalizing Government
Publication
Report to the Administrative Conference of the United States
February 2020
Publication
Evidence Works: Cases Where Evidence Meaningfully Informed Policy
January 2019