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About

Pang Wei Koh is a leading researcher at the intersection of machine learning, reliability, and societal impact. His work is centrally concerned with understanding and improving the robustness, fairness, and safety of large-scale AI systems. Koh is perhaps best known as a co-author of the landmark report "On the Opportunities and Risks of Foundation Models" (2021, over 2,100 citations), which introduced the now-ubiquitous term "foundation models" to describe powerful, broadly-trained models like GPT-3 and BERT. This work catalyzed a global conversation about the transformative potential and profound risks of these systems. Beyond this, Koh has made seminal contributions to distribution shift and spurious correlations, developing influential methods like "spurious features" and "worst-group generalization" to diagnose and mitigate model failures in real-world settings. His research on model editing and data attribution also provides crucial tools for understanding and controlling model behavior. Through his rigorous, impact-driven work, Pang Wei Koh has become a defining voice in the effort to build AI systems that are not only powerful but also trustworthy and aligned with human values.