In the age of modern AI and politics, governments like the United States want sovereign AI: "self-sufficiency in the development of AI technologies." But the tech companies that have created this new technology have turned AI sovereignty into subscription services, "encouraging the illusion of a race for sovereign control while being the true powers behind the scenes."

In a new perspective piece published on TechPolicy.Press, Brown AI Policy researchers discuss AI sovereignty, sovereignty as a service, and where the power really lies between tech companies and governments.

During Spring 2025, nine PhD students successfully defended their dissertations from DSI, CCMB, and CNTR.

On Friday October 18, DSI hosted Brown's first Women in Data Science (WiDS) Providence Conference, organized by DSI students and postdocs and featuring experts from data science industry and academia.

Meet the incoming PhD students who will be joining CCMB and CNTR this year.

DSI became the Data Science Institute at Brown on July 1, 2023 after seven years as an “Initiative” and much hard work. We’re looking back at some highlights and the state of the Institute after a successful year.

Congratulations to all of the graduating students earning their doctoral, master’s, and undergraduate degrees from DSI-related programs this year!

Held in Toronto, Canada, last month, the IEEE Conference on Secure and Trustworthy Machine Learning (IEEE SATML) focuses on expanding on the theoretical and practical understandings of vulnerabilities inherent to ML systems, exploring the robustness of ML algorithms and systems, and aiding in developing a unified, coherent scientific community which aims to build trustworthy ML systems. The event’s organizers recognized only two papers with their Distinguished Paper Award, and new research by Brown CS PhD student Victor Ojewale was one of them.

Congratulations to CCMB and CNTR’s doctoral candidates who successfully defended their dissertations this year!

Tassallah Amina Abdullahi, a second-year doctoral student in Computer Science, has won a highly competitive Computational and Data Science Fellowship from the Association for Computing Machinery’s Special Interest Group on High Performance Computing (ACM SIGHPC).