Dokyun (DK) Lee

Professor Lee studies the development, deployment, and impact of AI in business and society, focusing on generative AI, large language models (LLMs), AI agents, and the economics of unstructured data. His research examines AI reliability and validity, generative AI and copyright, and AI’s unintended consequences. He has studied how generative AI affects human creativity, online communities, and information consumption; how well LLMs can serve as human surrogates in surveys and experiments; and how recommender systems, consumer reviews, and social media advertising shape consumer behavior. He develops algorithms for the Organizational Processing Unit, integrating LLMs with organizational knowledge through enterprise copilots and auditable knowledge systems. His methods include machine learning, statistical analysis, field experiments, and causal inference. At Boston University, he founded the Business Insights through Text Lab and Boston University’s Digital Business Institute Generative AI Lab. His work has appeared in computer science conferences and in journals including Management Science, Information Systems Research, the Journal of Marketing Research, Proceedings of the National Academy of Sciences, and Science Advances. He is an associate editor at Management Science and formerly held that role at Information Systems Research. His honors include best paper awards from both journals, the Gordon B. Davis Young Scholar Award, and the Sandra A. Slaughter Early Career Award. Previously, he was an assistant professor of business analytics at Carnegie Mellon University and a founding member and co-director of ENAiBLE, a retail and services collaborative focused on AI. Before academia, he worked in machine learning, natural language processing, and software engineering.