Article Series: Interpretable vs Black-box AI in Action

Based on new research by Jin-Chuan Duan, member of the ADGM Academy Research Centre Advisory Board, Chairman of ADBIZA and Criat, and professor emeritus of the National University of Singapore, our latest article explores how interpretable AI - enhanced by cutting-edge machine learning techniques - can deliver high performance without sacrificing clarity. The research demonstrates that interpretability doesn't have to come at the cost of performance. By refining conventional models with modern optimisation techniques, we can unlock AI's full potential in managerial and policy-driven applications.