Organizers

• 山东大学/Shandong University
• 清华大学/Tsinghua University
• 哈尔滨工业大学/Harbin Institute of Technology
• 武汉大学/Wuhan University
• 上海交通大学/Shanghai Jiaotong University
• 北京交通大学/Beijing Jiaotong University
• 齐鲁工业大学/Qilu University of Technology
• 西安邮电大学/Xi'an University of Posts & Telecommunications

 演讲者/Speaker： My Thai        

Title: Explainable AI: The Art of Explanation

Abstract：Despite the impressive feats of using deep learning models in many application domains, researchers and the public have grown alarmed by the fact that these models lack interpretability. They have been used as black-boxes with little explanation for why the models make such predictions. In this talk, we will discuss the art of explainable AI, which has been emerged as one of the promising tools to provide explanation to a decision made by DNNs. We will cover from linear to non-linear explanation, their evaluation and the risk of being exploited.

Short Bio: My T. Thai is a University of Florida (UF) Research Foundation Professor of Computer & Information Science & Engineering and Associate Director of UF Nelms Institute for the Connected World. Dr. Thai's current research interests include explainable AI, AI Security and Privacy, and Optimization. The results of her work have led to 7 books and 250+ publications in highly ranked international journals and conferences, including several best paper awards from the IEEE and ACM. Dr. Thai received many recognitions, including UF Research Foundation professorship, IoT Term Endowed professorship, NSF CAREER Award, and DTRA Young Investigator Award. She is an IEEE Fellow. Among many professional activities, Dr. Thai currently serves as Editor-in-Chief of the Journal of Combinatorial Optimization, EiC of the IET Blockchain journal, and book series editor of Springer Optimization and Its Applications.

组织委员会/Organization Committee:

Xiuzhen Cheng, Debiao He, Jianzhong Li, Yan Huo, Tao Jing, Dongxiao Yu, Jiguo Yu, Yong Yu