Biography
Dr. Jason Xianghua Wu is a Lecturer (Assistant Professor) at the School of Information Systems and Technology Management (ISTM), UNSW Business School. He earned his Ph.D. in Management Science from the University of Texas at Arlington, his Master’s degree in Economics from Zhejiang University, and his Bachelor’s degree in Information and Computing Science. Jason is passionate about exploring human behavior and decision-making across...view more
Dr. Jason Xianghua Wu is a Lecturer (Assistant Professor) at the School of Information Systems and Technology Management (ISTM), UNSW Business School. He earned his Ph.D. in Management Science from the University of Texas at Arlington, his Master’s degree in Economics from Zhejiang University, and his Bachelor’s degree in Information and Computing Science. Jason is passionate about exploring human behavior and decision-making across diverse technological and business contexts using interdisciplinary approaches. His research focuses on artificial intelligence (AI), online auctions, and other emerging technologies and digital economies. He seeks to leverage AI and new technologies to uncover human and machine behavioral patterns in a society where humans and intelligent systems coexist, and to design mechanisms and policies that contribute to a better world.
My Research Activities
Wu, J. X., Wu, Y., Chen, K. Y., & Hua, L. (2023). Building Socially Intelligent AI Systems: Evidence from the Trust Game Using Artificial Agents with Deep Learning. Management Science. Fast Track Paper, https://doi.org/10.1287/mnsc.2023.4782.
Multi-dimensional Procurement Auction with Loss Averse Workers in Online Labor Markets (Under Revision). Joint with Shan Li, and Kay Yut Chen.
Building Socially Responsible AI Systems: A Study of Emergent Social Biases and Mitigation in Deep-Reinforcement-Learning-Based Agents. Under Review, Submitting. Joint with Diana Wu, Kay Yut Chen, Jennifer Zhang, and Jeff Hou.
My Teaching
My teaching philosophy is “to be an inspirer, helper, and learner”.
1) To be an inspirer. Interest is the best teacher. I believe the starting point of teaching is to inspire the students’ interest in the subject and thus engage them in an active and independent learning process.
2) To be a helper. Teaching is a meaningful activity to help the students succeed in their academic journey. I enjoy helping students to overcome difficulties and achieve their goals.
3) To be a learner. Being a good learner is a prerequisite for being a good teacher. I learn and accumulate real examples and relevant stories through teaching. This can in turn help me inspire the student and illustrate the concepts and definitions in a more clear and intuitive way. More importantly, as modern technology develops rapidly, it is crucial to keep learning new things to effectively deliver courses in emerging technologies and economies.
Location
UNSW Business School,
Room 2117, Level 2, West Wing, Quadrangle Building (E15),
UNSW SYDNEY 2052.
ORCID as entered in ROS
https://orcid.org/0000-0002-3759-758X