Researchers at Brown University, led by Indian American professor Suresh Venkatasubramanian, have launched a portal to track and analyze pending AI legislation across the United States.
A team of researchers from Brown University, under the leadership of Indian American professor Suresh Venkatasubramanian, has unveiled a new tool designed to track and analyze pending artificial intelligence (AI) legislation at both the federal and state levels in the United States. This initiative aims to address the rapidly evolving landscape of AI technologies and their regulation.
The CNTR AISLE Portal serves as a public database that aggregates information on AI legislation currently pending across all 50 states and at the federal level. It also provides in-depth analyses conducted by trained evaluators, detailing the various aspects of AI policy that these bills encompass.
Developed by a collaborative team of faculty, students, and staff at the Center for Technological Responsibility, Reimagination and Redesign (CNTR), the portal is a significant step toward enhancing public understanding of AI legislation. Venkatasubramanian, who is a professor of computer science and data science at Brown, emphasized the importance of this tool in the context of the growing number of AI-related bills introduced in the U.S. “Over the last three years, over 1,000 AI-related bills have been introduced in the U.S.,” the AISLE team noted at the launch. “With AISLE, we will help the public, journalists, researchers, and policymakers identify key policy trends and assess the maturity of these proposals.”
The AISLE Portal features a comprehensive bill library that compiles all AI-related legislation from a larger legislative database known as LegiScan. A subset of these bills has been evaluated by the AISLE policy team, which consists of 17 undergraduate students and five graduate students trained to assess legislation using the AISLE framework.
This framework includes a set of 159 questions designed to evaluate the extent to which each bill pertains to six general categories: accountability and transparency, data protection, bias and discrimination, education, synthetic content, and the labor force. For each bill assessed, the portal provides a “bill profile” that summarizes its content according to the AISLE framework.
Venkatasubramanian highlighted the team’s commitment to developing objective standards for evaluating legislation. “The goal here is not for us to say which bills we think are good and which ones are bad,” he explained. “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.”
As of now, the team has evaluated approximately 100 bills, with plans to continue adding analyses on a rolling basis. Their ultimate goal is to evaluate enough legislation to identify large-scale trends in AI governance and legislation.
“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,” Venkatasubramanian noted. “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.”
The CNTR AISLE project is still in its early stages, with plans to introduce new features to the portal in the coming weeks. As legislative sessions for 2026 commence across the country, the team hopes that the portal will prove beneficial to a diverse range of users, including policymakers, journalists, and the general public.
“When we started work on AISLE, we hoped that the system we were building would be useful to policymakers, the press, and the public,” Venkatasubramanian said. “But as our team has grown, and as the work has developed, I’ve come to realize how invaluable AISLE is as an educational experience for the many students in technical and non-technical disciplines interested in AI policy. It has also become clear that AISLE lays the foundation for long-term scholarly research on how efforts to shape this critical and transformative technology are evolving over time.”
Venkatasubramanian has an impressive background, having served as the Assistant Director for Science and Justice in the White House Office of Science and Technology Policy during the Biden-Harris administration, where he co-authored the Blueprint for an AI Bill of Rights. He has also received several accolades for his research, including a CAREER award from the National Science Foundation for his work in the geometry of probability, a test-of-time award at ICDE 2017 for his contributions to privacy, and a KAIS Journal award for his work on auditing black-box models.
As the CNTR AISLE project continues to evolve, it promises to be a vital resource in understanding the legislative landscape surrounding AI technologies in the United States, fostering informed discussions and decisions about the future of AI policy.
According to The American Bazaar, the launch of the AISLE Portal marks a significant advancement in the effort to track and analyze AI legislation nationwide.