The Shanghai Management Science Forum is a grand event in the field of Management Science in China, hosted by the Shanghai Management Science Society and jointly organized by nearly 30 business schools (Management and Economics) in China. It is characterized by “the most cutting-edge, inclusive, pragmatic and open”. On May 14th, 2022, the Shanghai Management Science Forum University of Shanghai for Science and Technology sub forum was successfully held. At the beginning of the forum, Professor Huo Jiazhen, CO chairman of the Organizing Committee of Shanghai Management Science Forum, chairman of Shanghai Management Science Society and former dean of School of Economics and Management of Tongji University, delivered a speech. Zhang Zheng, vice dean of the Business School, acted as the host. Fan Chongjun and Liu Yong from the Department of Information Management and Information System were invited to attend.
Professor Fan Chongjun gave a speech on the topic of the strategic planning of industrial Internet and intelligent manufacturing under the digital economy, including three aspects: the background and significance of China’s development of industrial Internet and the digital transformation of enterprises; Strategic planning methods and ideas for enterprises to apply “5G+ industrial Internet” and achieve intelligent manufacturing goals, as well as examples of industrial Internet and intelligent manufacturing application blueprints; some thoughts and strategic suggestions on how to develop 5G+ industrial Internet in China. Associate Professor Liu Yong discussed the research progress of interpretable artificial intelligence from the source of problems, research status and development trend. Liu said that interpretable artificial intelligence has become a research hotspot, because artificial intelligence needs to build trust with users to let them understand the “what's going on” in machine learning decisions in various application scenarios such as bank finance, autonomous vehicle, and medical diagnosis. Although some progress has been made in the research of interpretable artificial intelligence, there are still many challenges, such as the expansion of existing interpretable artificial intelligence theories and methods, and the evolution relationship between interpretability and security of artificial intelligence. In addition, causal inference is an important method to study interpretable artificial intelligence.
At the last part of the meeting, the main speaker and the audience had an interaction and exchange.
Translator: ZHEN Yu
Reviewer: LIU Pengfei
