The 10th Distinguished Scholars Lecture were livestreamed on Tencent Cloud Conference on April 7th, 2022. The event was organized by Shanghai International School of Chief Technology Officer (hereinafter referred to as “CTO School”) and co-organized by Asia Europe Business School (hereinafter referred to as “AEBS”), ECNU-UH Joint Translational Science and Technology Research Institute and Minhang Chunshen Pyramid Talent Academy. Ding Wenxuan, Professor of Artificial Intelligence and Business Analysis and Director of Brain Cognition and Computational Intelligence Research Center at emlyon business school,, Specially Appointed Professor of International Courses at CTO School and Visiting Professor at AEBS, was invited to deliver an excellent lecture titled “Responsible AI.” Prof. He Jiaxun, Executive Dean of CTO School and Chinese co-dean of AEBS, presided over the event. More than 100 teachers and students from ECNU and other colleges and universities across China attended the online lecture.
The lecture began at 13:30. Prof. He Jiaxun first briefed on Prof. Ding Wenxuan’s research focuses, recent research topics as well as experience and expertise in responsible and trustworthy AI, risk governance, scientific discovery and thinking model, smart healthcare and application of AI in Business. Prof. Ding analyzed the current mechanism, method and purpose of “intelligence” in AI, explored how to design a new generation of “responsible AI” to address ethical and moral challenges associated with AI, and provided a theoretical framework for future research on AI risk governance. Hopefully, Prof. Ding’s frontier academic research report would further enlighten teachers and students in their academic research during the current anti-epidemic battle in Shanghai.
From a review of social phenomena closely related to AI such as intelligent logistics, humanoid, fake registered accounts, traffic fraud and application of AI in employee monitoring, Prof. Ding segued into the five issues triggered by use of AI, namely, privacy, fairness and justice (prejudice and discrimination), transparency and explicability, security and controllability, accountability and trust. On the basis of an analysis of real cases, Prof. Ding clarified key points for solutions to the five issues and shared her viewpoints about whether it is necessary to use people’s private information as an essential element of intelligence generation, whether big data accumulation is essential to intelligence generation, how to prevent the value orientation of AI algorithms and economic theories leading to excessive reliance on benefits and leaving no room for altruism and whom the public power acts on.
Prof. Ding further introduced the concept of Responsible AI, a research topic of her research team, and explained the feasibility of this solution in solving the practical issues of AI. She emphasized that responsible AI is centered on “people” to address the existing problems and challenges, the key to which is control rights (users, developers and consumers), value orientation of algorithms and responsibility – the way to introduce regulations into algorithm and code, science and technology etc.
The lecture ended with an active exchange of views and interaction between Prof. Ding and the participants. She answered questions about the application of AI in healthcare and mobile phone data privacy, shared her experiences and viewpoints and held in-depth discussions with the teachers and students on research topics that are at the forefront of AI. In animated discussions, the lecture drew to a close.