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Brown's Venkatasubramanian builds portal tracking U.S. AI laws
The Portal has covered over 100 federal and state legislations, with plans to expand further.
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Jeffin T. Kaleekal - Wed, 04, Mar 2026
- 04:13 EST
- 31
Suresh Venkatasubramanian / Brown University
An Indian-origin computer scientist at Brown University has launched a public portal to track the rapidly growing body of artificial intelligence legislation across the United States. The CNTR AISLE (AI Legislation) Portal, led by Suresh Venkatasubramanian, aggregates AI-related bills from Congress and all 50 state legislatures and analyses them through a structured policy framework.
As AI surges, so do the laws that seek to optimise the growth of this powerful tech tool. However, the thousands of AI related bills that flood the Congress and the state legislatures are proving difficult to track and abide by even for the most ardent followers. It is this frenzy that Brown University professor Suresh Venkatasubramanian and his team are tackling.
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Venkatasubramanian, a professor of computer science and data science, leads Brown’s Center for Technological Responsibility (CNTR), a public database that aggregates AI legislation pending at the federal level and from all 50 states, and provides analysis by trained evaluators on what aspects of AI policy those bills cover.
Venkatasubramanian, an India Institute of Technology, Kharagpur, alumnus, is a former White House Tech advisor. He has been associated with Brown since 2021 and holds a PhD in Computer Science from Stanford University.
The portal, officially called the CNTR AISLE (AI Legislation) Portal, draws raw bill text from the legislative tracking service LegiScan and feeds it into a framework of 159 yes-or-no questions developed by Brown’s AI governance experts. A team of 17 undergraduates and five graduate students evaluate selected bills.
The bills are judged on five broad policy categories, namely, accountability and transparency, data protection, bias and discrimination, education, synthetic content, and the labor force.
The profile created for each bill includes the percentage of questions related to each category that the evaluator answered in the affirmative. There’s also a graphic illustrating each bill’s areas of impact. The library is searchable by keyword and sortable by state to help users find bills that may affect their communities or areas of interest.
Talking about the strict objective framework that has been designed, Venkatasubramanian said, "The goal here is not for us to say which bills we think are good and which ones are bad.”
He continued, “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.”
The team plans to expand evaluations rapidly in the coming weeks and add new portal features as more bills are processed.
According to its creators, AISLE is poised to become the authoritative reference for anyone trying to understand — and influence — how the United States governs artificial intelligence in the years ahead.
The CNTR AISLE Portal is now live and open to the public at aisle.brown.edu.
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