Brown University Launches AI Legislation Tracking Portal

CNTR AISLE Portal provides analysis of state and federal AI bills to help policymakers, journalists, and the public understand AI regulation efforts.

Published on Mar. 4, 2026

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Researchers at Brown University's Center for Technological Responsibility, Reimagination and Redesign (CNTR) have developed the CNTR AISLE Portal, a public database that aggregates and analyzes AI-related legislation at the federal and state levels. The portal provides a framework to assess bills based on key policy areas like accountability, data protection, bias, and the workforce, helping users identify trends and understand the maturity of AI regulation proposals.

Why it matters

As AI technologies rapidly evolve, policymakers at all levels of government are working to develop appropriate regulations. The CNTR AISLE Portal aims to provide a centralized, objective resource to help inform these legislative efforts and increase transparency around AI policy development.

The details

The AISLE Portal includes a searchable library of over 1,000 AI-related bills introduced across the U.S. in the last three years. A team of trained student evaluators has analyzed a subset of these bills using a framework of 159 questions covering six key policy areas. For each evaluated bill, the portal provides a 'bill profile' summarizing its content and impact. The team plans to continuously add new bill analyses to the portal, with the goal of uncovering larger trends in AI legislation and governance.

  • The CNTR AISLE Portal was launched in March 2026.

The players

CNTR (Center for Technological Responsibility, Reimagination and Redesign)

A project in Brown University's Data Science Institute that aims to align computer science education and research with the needs of end users and the broader public.

Suresh Venkatasubramanian

A professor of computer science and data science at Brown University who leads CNTR.

Tomo Lazovitch

An assistant professor of the practice in AI governance and policy at Brown University who leads the AISLE policy team.

Wilber Sean Anterola

A first-year undergraduate at Brown University who is a member of the AISLE policy team.

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What they’re saying

“The goal here is not for us to say which bills we think are good and which ones are bad. Instead, we want to provide an easily digestible format for people to see what kinds of topics each bill covers and better understand where policymakers are in terms of addressing developments in AI.”

— Suresh Venkatasubramanian, Professor of Computer Science and Data Science, Brown University

“With the analysis data that AISLE has provided, it is possible to understand which topics come in and out of the spotlight in each year's legislative session, such as the rise in attention paid to the consequences of AI-generated synthetic content. We were also able to analyze similarities between bills to understand how ideas spread and diffuse across different states, and how 'template' bills influence how legislators draft legislation.”

— Suresh Venkatasubramanian, Professor of Computer Science and Data Science, Brown University

“It's been a great experience for me personally in expanding my perspective. I have been very interested in leaning into tech policy, and this system has been a way for me to get in. We haven't had any centralized system for keeping track of all these bills, so I think this is going to be a great thing for students, researchers and the general public.”

— Wilber Sean Anterola, First-year Undergraduate, Brown University

What’s next

The CNTR AISLE team plans to continuously add new bill analyses to the portal, with the goal of uncovering larger trends in AI legislation and governance.

The takeaway

The CNTR AISLE Portal provides a much-needed centralized and objective resource to help policymakers, researchers, journalists, and the public better understand the evolving landscape of AI regulation at the state and federal levels.