Steven Luo

Steven is a 4th-year undergraduate at the University of California, Berkeley double majoring in computer science and data science, with a minor in public policy. He is supported by the Regents’ and Chancellor’s Scholarship and the SEED Scholars Honors Program. He will begin his PhD in the fall at Carnegie Mellon University, in the School of Computer Science’s Software and Societal Systems Department.

Steven's research interests broadly lie in simulating behaviors with LLMs, human-AI collaboration, tools for decision-making, and technology/AI policy (with recent work on conversational AI systems, privacy, governance, and accountability). His current research on building politically “neutral” AI systems and evaluations is advised by Professor Serina Chang in BAIR; he is also building the Tech Policy Initiative at CITRIS and the Banatao Institute, organizing an AI policy reading group at the Berkeley AI Safety Initiative, and teaching on course staff for CS 189/289A: Introduction to Machine Learning.