The Paragon Policy Fellowship, co-led by Brown senior Jenn Wang and advised by CNTR Director Suresh Venkatasubramanian, connects students to local governments to work on tech policy issues and plans to develop a playbook for building lasting talent pipelines.
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.
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.