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.
Diana's talk on support chatbots as emerging tools for domestic violence (DV) survivors, provides practical guidance for designing AI systems resilient to insider threats.
As a tool for researchers, lawmakers, journalists and the public, the CNTR AISLE Portal provides analysis of state- and federal-level AI bills pending across the U.S.
Brown CS faculty members Serena Booth and Suresh Venkatasubramanian have just been appointed to co-chair the AI and Algorithms Subcommittee, whose recent work includes responses to government RFIs, techbriefs, and statements on chatbot use.
The Conference on Language Modeling (COLM), held from October 7–10th in Montreal, Canada, is an academic venue focused on studying, improving, and critiquing the field of language modelling. This year, COLM brought together over a thousand researchers from around the world. We'll be sharing reflections by CNTR researchers who attended COLM.
The Conference on Language Modeling (COLM), held from October 7–10th in Montreal, Canada, is an academic venue focused on studying, improving, and critiquing the field of language modelling. This year, COLM brought together over a thousand researchers from around the world. We'll be sharing reflections by CNTR researchers who attended COLM.