Agentic AI Alignment Principles, Methods, and Deployment of Responsible Autonomous Systems

Dr. Wenbin Zhang is an Assistant Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University and an Associate Member of the Te Ipu o Te Mahara Artificial Intelligence Institute. His research focuses on trustworthy and responsible AI, with particular interests in aligning intelligent and autonomous systems with human values and societal goals. His work spans fairness, reliability, and responsible decision-making, with applications in healthcare, digital forensics, finance, energy, transportation, and public policy. Dr. Zhang’s research has been supported by major federal funding, including NIH R01 and NSF CRII awards. He was invited to deliver a New Faculty Highlights talk at AAAI’24 and was named to the Stanford/Elsevier Top 2% Scientists List. His research has received best paper awards and best paper candidate recognitions at ECML PKDD’25, ACM FAccT’23, ICDM’23, WIREs Data Mining and Knowledge Discovery, and ICDM’21. He also contributes extensively to the AI research community through conference leadership and editorial service, including membership on the ECML PKDD Steering Committee, serving as Bridge Chair for AAAI’27, Associate Editor for ACM Computing Surveys, and Action Editor for Machine Learning.