In the master of science degree program, students learn how to use data responsibly, giving local and global learners valuable training in responsible AI development and implementation.
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.
Brown University’s Dean of the Faculty gives out five different awards annually to recognize continued excellence in teaching, and this year, Brown CS and Data Science Institute faculty member Ritambhara Singh has received the Dean’s Award for Excellence in Teaching for a junior faculty member from the physical or life sciences.
The inaugural discussion in a series convened by Brown’s Office of the Provost and Data Science Institute detailed the history of artificial intelligence and new questions generative AI is raising.
Brown University recently became a member of the Public Interest Technology University Network (PIT-UN). PIT-UN fosters collaboration between universities and colleges to build the field of public interest technology and nurture a new generation of civic-minded technologists. This
Speaking before a U.S. Senate committee on the risks and opportunities of artificial intelligence, computer scientist Suresh Venkatasubramanian urged lawmakers to establish regulations to govern AI-based systems.
Suresh Venkatasubramanian served as a White House advisor for the nation’s first “Blueprint for an AI Bill of Rights,” helping to develop a guide to ethical practices in an era of data-driven technologies.
The COBRE Center for Computational Biology of Human Disease is advancing the use of computational tools among biomedical scientists at Brown, helping them unlock new insights that could ultimately benefit patients.
A new study shows that mathematical topology can reveal how human cells organize into complex spatial patterns, helping to categorize them by the formation of branched and clustered structures.