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Stanford RegLab: AI Regulation
webreglab.stanford.edu·reglab.stanford.edu/
Stanford RegLab is a leading academic institution for AI governance and regulatory research; useful for policy-oriented AI safety researchers interested in institutional and legal frameworks for managing AI risks.
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Summary
The Stanford Regulation, Evaluation, and Governance Lab (RegLab) conducts interdisciplinary research at the intersection of law, policy, and technology to improve regulatory systems. It focuses on using AI and data science to make government regulation more effective, equitable, and efficient. The lab produces research relevant to AI governance, algorithmic accountability, and the design of regulatory frameworks for emerging technologies.
Key Points
- •Interdisciplinary research combining law, social science, and computer science to study and improve regulatory systems
- •Investigates how AI tools can be responsibly deployed within government and regulatory agencies
- •Produces policy-relevant work on algorithmic accountability, fairness, and transparency in automated decision-making
- •Examines governance frameworks for emerging technologies including AI safety and risk management
- •Collaborates with government agencies to develop evidence-based regulatory approaches
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| AI-Induced Cyber Psychosis | Risk | 37.0 |
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RegLab – Regulation, Evaluation, and Governance Lab
Stanford’s RegLab builds the evidence base and technology for effective governance
news
Daniel Ho receives Roland Prize for public service in law and policy
Congratulations to RegLab Director Daniel Ho for being this year’s recipient of the Haas Center’s Miriam Aaron Roland Volunteer Service
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How Stanford researchers are designing fair and trustworthy AI systems
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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San Francisco wants to use AI to save itself from bureaucracy
City Attorney David Chiu is working with RegLab to identify and delete old, redundant municipal code sections.
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Cutting through “Policy Cruft”
The United States needs adaptable and responsive government institutions to effectively tackle the complex challenges facing the country both domestically and internationally.
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RegLab Leads Research to Use AI to Identify and Map Racial Covenants from over 5 Million Deed Records
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
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3 ways San Diego’s mayor is unlocking creativity amid budget cuts
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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areas
We pilot, build, and test solutions for compliance, mass adjudication, policy making, and government services
Compliance
Government agencies enforce the nation’s water, health, and antidiscrimination laws. We use machine learning and data science to improve compliance.
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Adjudication
Mass adjudication affects thousands of immigrants, veterans and disabled people each day. We use data-driven techniques to improve the process and quality of adjudication.
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Policy
In promoting evidence-based law and policy, we evaluate the impact of policy and regulations with agency-academic collaborations that can draw on cutting-edge methods.
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Methods
The public sector faces a major evidence deficit. We develop research methods to foster and facilitate rigorous evaluation for governance.
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