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She'll study how people communicate goals to machines and design AI systems that can interpret imperfect instructions by reasoning about the intent behind them. Expected outcomes include safer decision-making technologies and new tools that help organizations deploy AI more effectively.

Brown CS faculty member Amy Greenwald and two of her past students have recently been recognized as winners of a 2026 Influential Paper Award from the International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), a non-profit organization that promotes science and technology in the areas of artificial intelligence, autonomous agents, and multiagent systems. IFAAMAS established the Influential Paper Award in 2006, and it honors research papers from past AAMAS conferences that have had lasting impact on the fields of autonomous agents and multiagent systems. Presented annually, it recognizes papers published at least ten years earlier that introduced key results, …

The Computing Research Association (CRA) is a coalition of more than 200 organizations with the mission of enhancing innovation by joining with industry, government, and academia to strengthen research and advance education in computing. Every year, they recognize North American students who show phenomenal research potential with their Outstanding Undergraduate Researcher Award, and for 2025-2026, four Brown CS students received honors: Joshua Yang (Runner-Up) as well as Arnie He, Wanjia Fu, and Alexander Portland (Honorable Mentions).

Sam Dooman, a Brown CS alum who also studied music, works as the founding engineer at Down Dog, a company that develops apps for practicing fitness at home, including yoga, high-intensity interval training, and meditation.

No stranger to controversy, AI pioneer Yann LeCun told a capacity crowd that large language models are not the future of AI and that a new approach is needed if machines are to achieve human-like intelligence.

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 alum and Advisory Board member danah boyd has just received a Sloan Research Fellowship, recognizing her as one of the most promising scientific researchers working today, part of the next generation of U.S. and Canadian scientific leaders.

Almost thirty years after earning his doctorate from Brown CS, Yi-Jing Lin’s phone rang, and his already unconventional career took an unexpected turn.

As the latest step in a career that’s ranged from the Marine Corps to the Department of Energy to serving as Federal Cybersecurity Lead and Senior Cybersecurity Advisor to the White House’s Federal Chief Information Officer, Brown CS Master of Science in Cybersecurity alum Nicholas (Nick) M. Andersen has taken on a prominent new role.

Brown University doctoral student Zainab Iftikhar is the friend people turn to when they need to talk. 

“My family jokes that I’m the ‘therapist friend’ everyone calls when they have a problem,” Iftikhar said. 

Her capacity for caregiving has informed her research at Brown, where she is focused on exploring technology’s therapeutic strengths and weaknesses to find ways people can best use AI to support social and mental health. Her research has spotlighted humans’ inherent ability to offer and detect empathy, which is something that chatbots, text-based therapists and other artificial intelligence systems don’t do well, she said.