Brown CS

Brown CS PhD Student Victor Ojewale And Suresh Venkatasubramanian Receive An RLEval Best Paper Award

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.

Learn more (and read the paper) at Brown CS News: https://cs.brown.edu/news/2026/06/03/brown-cs-phd-student-victor-ojewale-and-suresh-venkatasubramanian-receive-an-rleval-best-paper-award

Serena Booth Receives An NSF CAREER Award For Inferring AI Specifications By Modeling Humans

“Artificial intelligence (AI) systems,” writes Brown CS faculty member Serena Booth, “increasingly influence both high stakes and everyday decisions across many sectors of the economy. However, providing clear and reliable instructions for intelligent systems is difficult even for relatively narrow applications. Failures occur because instructions are created by people, and human reasoning is shaped by limited information, context, and common cognitive mistakes. As AI becomes more widespread, improving how systems interpret human intent will be essential for safety and reliability.”

To address that challenge, she’s just received a National Science Foundation (NSF) CAREER Award to study how people communicate goals to machines and design AI systems that can interpret imperfect instructions by reasoning about the intent behind them.

Learn more at Brown CS News: https://cs.brown.edu/news/2026/05/28/serena-booth-receives-an-nsf-career-award-for-inferring-ai-specifications-by-modeling-humans