学术讲座

高瓴人工智能学院学术前沿讲座

报告题目：Human-centered Explainable AI

讲座时间：2022年 3月10日（周四）上午11:00-12:00

腾讯会议：559-488-751

报告摘要

AI has been an important part in many human-centered tasks such as search, recommendation, dialog systems and social networks. However, how to understand and interpret the results produced by AI remains a significant challenge, which greatly influences the trust between humans and AI. In this talk, we will introduce Explainable AI from both technical and application perspectives. In particular, we will highlight the role of human-centered intelligent systems such as search, recommendation and dialog systems as the bridge between human and AI, and as the forefront of human-centered explainable AI research. We will also talk about techniques for human-centered explainable AI including neural symbolic reasoning, causal and counterfactual reasoning, knowledge graph reasoning, explainable graph neural networks, natural language explanations, and their application in search, recommendation and dialog systems.

主讲嘉宾

张永锋 美国罗格斯大学计算机科学学院助理教授

Yongfeng Zhang is an Assistant Professor in the Department of Computer Science at Rutgers University and directs the Web Intelligent Systems and Economics (WISE) lab. His research interest is in Machine Learning, Machine Reasoning, Information Retrieval, Recommender Systems, Economics of Data Science, Explainable AI, Fairness in AI, and AI Ethics. He serves as associate editor for ACM Transactions on Information Systems (TOIS), ACM Transactions on Recommender Systems (TORS), and Frontiers in Big Data. He is an NSF career awardee in 2021.

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