RegLab collaborated with the Stanford Institute for Human-Centered AI (HAI) on a brief that presents a blueprint for how government agencies can effectively evaluate AI tools in high-stakes public services.
Our team is proud to be selected as part of the second cohort of Public Benefit Innovation Fund recipients, helping government test and scale new ways to make essential benefits easier to access. RegLab is teaming up with the states of Colorado and Maryland to develop, pilot, and test a tool that streamlines the enrollment process for unemployment insurance.
New RegLab research adds to a small but growing body of evidence that living near Concentrated Animal Feeding Operations (CAFOs) may have harmful effects for pregnant women. This study is the first to link CAFO exposure to preterm birth risk in California.
RegLab is partnering with California's Office of Data and Innovation to serve as independent evaluator for AskCA, a new AI-powered digital assistant designed to help Californians navigate state and local services. Through this collaboration, RegLab will develop and implement a rigorous evaluation framework to assess the tool's effectiveness and reliability.
Prof. Dan Ho wrote an opinion piece in the Washington Post about the RegLab's work cleaning up "policy sludge" across federal, state, and local laws.
RegLab partnered with the states of New York, California, and Maryland to help these governments start paring these provisions from their books to speed the pace of government.
Arnold Ventures recently featured RegLab’s collaboration with the Colorado Department of Labor and Employment to build and rigorously evaluate an
This year’s interdisciplinary cohort spans computer science, AI evaluation, law, mathematics, symbolic systems, and computational social science.
The AI in Action Award recognizes promising uses of artificial intelligence in government, with an emphasis on practical implementation, responsible adoption, and lessons that can be shared across jurisdictions.
This Stanford Report spotlights RegLab as a pioneering force driving the transformation of legal education and practice through AI.
RegLab was pleased to host South Korean Supreme Court Justice Sook-Yeon Lee for an engaging dialogue on the responsible use of AI in judicial systems.
Professor Ho received the 2026 CodeX Prize for his groundbreaking research with RegLab for his extensive scholarship on how technology
Congratulations to RegLab Director Daniel Ho for being this year’s recipient of the Haas Center’s Miriam Aaron Roland Volunteer Service
Accepted to the 39th Conference on Neural Information Processing Systems (NeurIPS 2025)
November 2025
Association for Computational Linguistics, Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
November 2025
Innovation Showcase is an opportunity for California state teams to hear from innovators about challenges facing delivery of services to
Professor Dan Ho participated in a fireside chat with Mike Johnston and Jennifer Pahlka at the 2nd DenAI Summit.
RegLab’s partnership with San Diego to use computer vision to improve road maintenance and resource allocation is discussed by the Bloomberg Cities Network.
Stanford Report features RegLab’s work developing the Statutory Research Assistant (STARA) and an AI tool to identify racially restricted covenants.
RegLab Policy Fellow Jennifer Pahlka highlights STARA in making the case for leveraging AI to improve governance.
A policy brief that assesses the benefits of and provides policy recommendations for adverse event reporting systems for AI.
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.
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.
City Attorney David Chiu is working with RegLab to identify and delete old, redundant municipal code sections.
A benchmark featuring 25 systems with complex, real-world codebases, and 40 bug bounties that cover 9 of the OWASP Top 10 Risks.
Congratulations to the Cybench team, who won first prize in the Center for AI Safety’s SafeBench competition!
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.
Current generative AI models struggle to recognize when demographic distinctions matter—leading to inaccurate, misleading, and sometimes harmful outcomes.
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.
Dan Ho offers behind the scenes insight into the AI bootcamp for California officials that RegLab co-hosted.
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.”
The United States needs adaptable and responsive government institutions to effectively tackle the complex challenges facing the country both domestically and internationally.
The Stanford Graduate School of Business Insights covers RegLab research into the “spiderwebs” of complex business partnerships and how the IRS can improve its audits.
In collaboration with Santa Clara County, RegLab led the development and application of an AI model that provides an efficient and effective means of complying with California's Anti-Discrimination Law
We are thrilled to introduce and hear from Elena Eneva, who brings a wealth of knowledge and experience to our team. Welcome, Elena!
Dan Ho co-authored a new article published in Science that analyzes the impact of different policy proposals related to regulating open foundation models.
Congratulations to Professor Goldin for recognition of his outstanding early-career impacts on the field of law and economics by the University of Chicago!
A new RegLab study evaluates the performance of two popular AI-powered legal tools and finds they still hallucinate at alarming rates – underscoring the need for benchmarking and public evaluations of AI tools in law.
Congratulations to RegLab's Faculty Director on his election to the American Academy of Arts & Sciences!
RegLab Executive Director, Christine Tsang, and our research partner, Dr. Sara Cody, Santa Clara County Health Officer, provided expert testimony to the Senate Labor, Public Employment and Retirement Committee on Senate Bill 1070, aimed at enabling talent exchanges into state and local government.
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.