Liben (Ben) Chen

Liben (Ben) Chen is a final-year Ph.D. candidate in Information & Decision Sciences at the Carlson School of Management. His research centers on trustworthy AI, with two complementary focuses: (1) understanding the longitudinal dynamics of the user-system feedback loop under adversarial pressure or regulatory constraints, and (2) designing multi-objective AI systems that jointly optimize predictive performance and trustworthiness properties, such as privacy awareness and adversarial robustness. His research addresses trustworthiness challenges in high-value commercial AI systems, such as recommender systems and LLM-based systems, drawing on a diverse methodological toolkit spanning machine learning, deep learning, agent-based simulation, and analytical modeling.

His dissertation research has been conditionally accepted at Information Systems Research, a leading academic journal in information systems. His other research works are under review or revision at top-tier venues in both information systems and computer science, including INFORMS Journal on Computing and Machine Learning. He has presented his findings at renowned academic conferences in his field, such as CIST, WITS, and SCECR, and has been recognized with honors such as the highly selective Carlson School of Management Dissertation Fellowship. Beyond his research, Liben has been actively involved in the academic community, notably as a reviewer for Management Science and Information Systems Research, and an organizer for the student-organized virtual seminar series ISPOC.