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.

During National Postdoc Appreciation Week 2024, DSI is highlighting our postdocs and their range of impactful work.

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

Diana Freed joins Brown CS and Brown’s Data Science Institute as an assistant professor. Diana is involved in an emerging area of computer science focused on building and designing technologies specifically to improve online safety and well-being for vulnerable and marginalized populations globally.

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!

Professor Venkatasubramanian made the list as one of The Chronicle of Philanthropy's "33 Leaders Standing Up to Big Tech in the Age of A.I."

An introduction to DSI's Newest Faculty Member.