On May 14, 2023, the Scientific and Technological Innovation 2030-"New Generation Artificial Intelligence" major project "Industrial Field Knowledge Automatic Construction and Reasoning Decision-making Technology and Application" led and undertaken by our school held the topic 4 "Data and Knowledge Sharing Privacy and Application" in Beijing. "Information Security Protection" performance pre-evaluation meeting. This project is jointly undertaken by the Institute of Information Engineering of the Chinese Academy of Sciences and our school. Aiming at the difficult balance between knowledge openness and information privacy in the industrial field, research on the interactive impact mechanism of data and knowledge privacy, algorithm availability, and model interpretability is carried out to break through distrust. Security protection technology for hierarchical sharing and precise authorization in situations.

The leader of the expert group for this performance pre-evaluation meeting is Professor Yin Shoyi of Tsinghua University. The members of the expert group include Chen Shangyi, Chairman of Beijing Baidu Netcom Technology Co., Ltd., and Xu Nuo, a senior accountant at the Science and Technology Assessment Center of the Ministry of Science and Technology. Participants included project leader Professor Fang Zhijun, Professor Cao Xiaochun and Dr. Jiang Yuchen of Sun Yat-sen University, Zhao Xiaoli and Gao Yongbin of Shanghai University of Engineering and Technology and other teachers. The research team first introduced the main content, progress and results of the project. The expert group inquired about the content, completion level, and financial aspects of the project, and provided guidance on matters that should be paid attention to in the subsequent completion of the project.

Experts from the project team gave positive evaluations of the performance results of Topic 4. The expert group unanimously believes that the research work undertaken by Project 4 is progressing smoothly, the organization and management work is orderly and efficient, and rich and important research results have been achieved. The project results are innovative, demonstrative, practical, and have good promotion The application prospects have achieved the set goals and laid a solid foundation for the completion of the overall project goals. The units participating in Project 4 expressed their gratitude to the experts for their suggestions and unanimously agreed to further improve and improve them in the remaining six months. This performance pre-evaluation meeting laid a good foundation for the conclusion of the major scientific and technological innovation 2030-"New Generation Artificial Intelligence" project led by our school.