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 is centered on the study of trustworthy AI systems, with two key areas of focus: (1) understanding the longitudinal dynamics of the user-system feedback loop under adversarial pressure or regulatory impact, and (2) designing multi-objective AI systems that jointly optimize for predictive performance and trustworthiness property. 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 that spans machine learning, deep learning, agent-based simulation, and analytical modeling.

His research works are under review or revision at leading academic journals in information systems and computer science, including Information Systems Research, 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.