Stanford RegLab: AI Regulation

web

reglab.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.

Metadata

Importance: 52/100homepage

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

Cached Content Preview

HTTP 200Fetched Mar 20, 20264 KB

# 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

[READ MORE](https://haas.stanford.edu/news/daniel-e-ho-receives-roland-prize-public-service-law-and-policy)

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.

[READ MORE](https://news.stanford.edu/stories/2025/07/stanford-researchers-fair-trustworthy-responsible-ai-systems)

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.

[READ MORE](https://www.politico.com/news/2025/06/05/san-francisco-ai-bureaucracy-00388853)

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.

[READ MORE](https://reglab.stanford.edu/2024/10/30/cutting-through-policy-cruft/)

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

[READ MORE](https://reglab.stanford.edu/2024/10/17/racially-restrictive-covenants/)

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.

[READ MORE](https://bloombergcities.jhu.edu/news/3-ways-san-diegos-mayor-unlocking-creativity-amid-budget-cuts)

## 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.

[READ MORE](https://reglab.stanford.edu/projects-topics/compliance/)

### 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.

[READ MORE](https://reglab.stanford.edu/projects-topics/adjudication/)

### 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.

[READ MORE](https://reglab.stanford.edu/projects-topics/policy/)

### Methods

The public sector faces a major evidence deficit. We develop research methods to

... (truncated, 4 KB total)

Resource ID: 92be8e223c52d5fc | Stable ID: MjNkNDYxMj