Held at the ACM Conference on AI and Agentic Systems (CAIS), the RLEval: Methods and Reinforcement Learning Environments for Evaluating AI Agents workshop is believed to be the first-ever research venue for questions of AI agent evaluation and benchmarking. Last week, Brown CS PhD student Victor Ojewale and his advisor, Brown CS faculty member Suresh Venkatasubramanian (also Professor of Data Science, Deputy Director of the Data Science Institute, and Director of the Center for Technological Responsibility, Reimagination, and Redesign) received the event’s Best Paper Award.

Congratulations to Rui-Jie Yew, Suresh Venkatasubramanian, and Jeff Huang on winning a Best Paper Award at the 2025 DIS Conference for their paper: "Copyrighting Generative AI Co-Creations."

Second year PhD student Rui-Jie Yew was recently recognized as runner-up for Best Student Paper at the Artificial Intelligence, Ethics, and Society (AIES) Conference in San Jose at the end of October.

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.