报告题目：Towards Explainability in AI and Multimedia Research
报告人：Tat-Seng CHUA 教授
Dr Chua is the KITHCT Chair Professor at the School of Computing, National University of Singapore (新加坡国立大学). He is also the Distinguished Visiting Professor of Tsinghua University. Dr Chua was the Founding Dean of the School of Computing from 1998-2000. His main research interests include unstructured data analytics, multimedia information retrieval, recommendation and conversation systems, and the emerging applications in E-commerce, wellness and Fintech. Dr Chua is the co-Director of NExT, a joint research Center between NUS and Tsinghua, focusing on Extreme Search.
AI as a concept has been around since the 1950’s. With the recent advancements in machine learning technology, and the availability of big data and large computing processing power, the scene is set for AI to be used in many more systems and applications which will profoundly impact society. The current deep learning based AI systems are mostly in black box form and are often non-explainable. Though it has high performance, it is also known to make occasional fatal mistakes. This has limited the applications of AI, especially in mission critical problems such as decision support, command and control, and other life-critical operations. This talk focuses on explainable AI, which holds promise in helping humans to better understand and interpret the decisions made by black-box AI models.
In this talk, Dr Chua will present current state-of-the arts in explainable multimedia AI, along with our preliminary research on relation inference in videos, as well as leveraging prior domain knowledge, information theoretic principles, and adversarial algorithms to achieving explainable framework. Dr Chua will also discuss future research towards quality, fairness and robustness of explainable AI.