AI ethics and governance are issues that are as important as AI technology and engineering but not much discussion. With the continuous emergence of big models in recent years, AI applications and products have been implemented one after another. As a result, people's attention to AI ethics and governance is increasing, such as AI for good, privacy protection, responsible AI, and AI systems are trustworthy and controllable. In recent months, the emergence has put AI ethics and governance research on a more urgent agenda.

In fact, in response to the ethical and governance issues arising from the development of AI, there have always been organizations following up research and focusing on proposing corresponding solutions. In 2021, the Future Forum organized a series of AI ethics and governance forums, inviting industry, academia and research experts to think and discuss, which aroused widespread attention. The essence of the event has been compiled into a volume. After further additions and enrichment, it was recently published by People's Posts and Telecommunications Press as the book "Ethics and Governance of Artificial Intelligence - Future Perspective".

In order to inspire readers to further discuss more AI ethics and governance issues, Machine Hearts, jointly sponsored the "AI Governance and Ethics" series of online roundtable activities in conjunction with the Future Forum and People's Posts and Telecommunications Press, in order to continue to discuss the new AI research and industrial situation based on the good discussion atmosphere that has been established, and arouse continued attention to AI governance and ethics.

The first phase of the roundtable focuses on the interpretability of the big model. Cui Peng, a young scientist at the Future Forum, a former associate professor and doctoral supervisor of the Department of Computer Science and Technology of Tsinghua University, was invited as the host. Li Lei, an assistant professor at the University of California, Santa Barbara, Zhang Qi, a professor and doctoral supervisor of the School of Computer Science and Technology of Fudan University, and Zhang Weinan, a professor and doctoral supervisor of the School of Computer Science and Technology of Harbin Institute of Technology, was invited as guests.

The event is mainly divided into three links: a 25-minute research introduction for each guest, a 30-minute round table discussion and a 10-minute on-site QA. The details are as follows:

Special host

Cui Peng: Young scientist at the Future Forum, long-time associate professor and doctoral supervisor at the Department of Computer Science at Tsinghua University.

Research interests focus on causal and effect-inspired stable prediction and decision-making, large-scale network representation learning, etc. In 2016, the integrated research on causal statistical ideas and machine learning frameworks was proposed and developed, and a stable learning theory and method system inspired by causality was developed, which achieved significant application value in smart medical care, Internet economy and other scenarios. He has published more than 100 papers in top international conferences and journals such as ICML and KDD, and has won international conference or journal paper awards seven times. He serves as the editorial board of international journals such as IEEE TKDE, ACM TOMM, ACM TIST, IEEE TBD, KAIS, etc. He has won the second prize in the National Natural Science Award, the first prize in the Ministry of Education's natural sciences, the CCF-IEEE CS Young Scientist Award, and is an outstanding scientist at ACM; he serves as a member of the 9th National Committee of the China Association for Science and Technology and Chairman of the 23rd Academic Committee of the CCF.

Special guest

Li Lei: Assistant Professor at the University of California, Santa Barbara.

The research directions are machine learning, natural language processing, and data mining. Graduated from the ACM class of the Department of Computer Science at Shanghai Jiaotong University and a Ph.D. from the Department of Computer Science at Carnegie Mellon University. He has served as a postdoctoral researcher at the University of California, Berkeley, a young scientist at Baidu's American Deep Learning Laboratory, and a founding director of ByteDance's Artificial Intelligence Laboratory. He has won the CCF Qingzhu Award, ACL Best Paper Award, Wu Wenjun's second prize in artificial intelligence, and ACM Best Doctoral Paper-up Award.

Zhang Qi: Professor and doctoral supervisor at the School of Computer Science and Technology, Fudan University.

In 2009, he received his Ph.D. in Science from Fudan University. The research areas are natural language processing and information retrieval. So far, he has published more than 80 papers in famous academic journals and conferences in natural language processing and information retrieval such as ACM/IEEE, IJCAI, AAAI, SIGIR, ACL, EMNLP. Among them, he has won the WSDM 2014 Best Paper Recommendation Award and the 2018 Area Chair Recommendation Award. Responsible for more than 10 National Natural Science Foundations, National 863 Plans, National Science and Technology Support Plans and International Cooperation Projects. He serves as a member of the Information Search Committee of the Chinese Society of Chinese Information, a member of the Social Media Processing Committee, an executive member of the Youth Work Committee, a member of the Computational Linguistics Committee, a member of the Language and Knowledge Computation Committee, a member of the Youth Work Committee of the Chinese Society of Artificial Intelligence, a member of the Youth Work Committee of the WSDM 2015 Local Chair, and a co-chair of the Procedure Committee of the 2019 National Information Search Conference. He has served as the chairman of the field of important international publications and conferences in natural language processing and artificial intelligence fields including ACL, EMNLP, SIGIR, IJCAI, AAAI, TKDE, etc., as well as the senior member of the Procedure Committee, member of the Procedure Committee, and reviewer. In 2012, he won the second prize of Shanghai Science and Technology Progress Award and the second prize of the Ministry of Education Science and Technology Progress Award, he won the ACM Shanghai Rising Star Nomination Award in 2015, and the Qian Weichang Chinese Information Processing Science and Technology Award-Hanwang Youth Innovation Award in 2016, and the IBM Award in 2016.

Zhang Weinan: Professor and doctoral supervisor at the School of Computer Science and Technology of Harbin Institute of Technology.

Assistant to the Department of Computing at Harbin Institute of Technology, Deputy Director of the Key Laboratory of Chinese Information Processing in Heilongjiang Province, and Head of the National Key R&D Program Project. Research interests include natural language processing and human-computer dialogue. Published many papers at CCF Class A international conferences and top international journals such as ACL, SIGIR, AAAI, WWW, IJCAI, IEEE TKDE, ACM TOIS, and many times, serving as the chairman of the ACL and EMNLP fields. Currently, he is the deputy director of the Youth Working Committee of the Chinese Society of Chinese Information, the executive member of the term review committee of the China Computer Society (CCF), the secretary-general of the CCF Harbin branch, the deputy secretary-general of the Education Working Committee of the Chinese Society of Artificial Intelligence, and a member of the Beijing Zhiyuan Qingyuan Association. He has won the first prize of Heilongjiang Province Science and Technology Progress Award, the second prize of Wu Wenjun's Artificial Intelligence Science and Technology Progress Award, and the Heilongjiang Province Youth Science and Technology Award.

Live broadcast room and communication group

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Communication group: This live broadcast has a QA session. Welcome to join this live broadcast exchange group for discussion and exchange.