On the morning of January 6, 2026, the 143rd Frontiers in Management Science Forum was held in Room A205, Mingli Building, Lihu Campus. Invited by the Department of Management Science, Associate Professor Lu Tao from the University of Connecticut delivered an academic report on human-AI collaborative decision-making. Hosted by Professor Lai Xiaofan, the lecture attracted many teachers and students for academic exchanges.
Associate Professor Lu Tao received his PhD from the Hong Kong University of Science and Technology and once worked at Erasmus University Rotterdam. His research focuses on supply chain management, sustainable operations and platform economy. He has published papers in top-tier journals including Management Science and Operations Research, and currently serves as an associate editor for multiple authoritative academic journals.
Starting with real workplace scenarios, Professor Lu distinguished between "Human replaced" and "Human in the loop" models in AI application. He proposed a theoretical model of AI prediction machines in operational decision-making, revealing that full disclosure of AI predictions is not always optimal. Moderate information ambiguity can effectively motivate managerial efforts and improve overall decision performance under uncertain market demands.
During the Q&A session, Professor Lu addressed excessive reliance on AI tools in practical work. He stressed that human cognitive participation, judgment and responsibility are irreplaceable in human-AI collaboration. The forum deepened participants’ understanding of AI-driven operational management and offered valuable theoretical and practical insights for future interdisciplinary research.
