Recently, Professor Peng Chengxin, Dean of the KoGuan School of Law of Shanghai Jiao Tong University, was invited to deliver wonderful academic reports at the Stanford Law School (USA) and the Peter A. Allard School of Law, University of British Columbia (Canada). He also engaged in in-depth academic exchanges and problem-sharing with faculty and students from both law schools.

In his lecture at Stanford Law School titled "China’s Approach of Data Governance: Between Security and Efficiency", Professor Peng first analyzed the rights-based data governance model of the EU and the efficiency-driven model of the U.S. He then proposed China’s data governance approach that seeks to balance security and efficiency, illustrating and demonstrating it through case studies of personal data governance, public data governance, and corporate data governance in China. During the interactive Q&A session, he engaged in profound academic discussions with Stanford Law School faculty and students on issues such as how to define the legal attributes of personal data, the tension between the broad circulation of personal data and the inalienability of personality rights, the similarities and differences in data governance paths among the EU, the U.S., and China, and the latest developments in AI regulation in China.

At UBC, Professor Peng held a "fireside chat"-style academic exchange with faculty and students centered on "Chinese Law on Data Governance and AI Development". He first briefly introduced the current development of AI in China, such as open-source reasoning models represented by DeepSeek, as well as the legislative concepts and practical approaches to data governance and AI. He noted that China is committed to building a data governance model that ensures data security while facilitating data circulation, exploring new possibilities for global digital governance to promote the comprehensive development of AI technology and industry. During the interactive session, heated discussions were held with UBC law faculty and students on core theoretical and practical legal issues, including the subject qualification of AI agents, the copyrightability of works generated by AI agents, and data governance in the large language model stage of AI agents.

The academic exchange activities between KoGuan School of Law and Stanford Law School (USA) and Peter A. Allard School of Law (Canada) have enhanced overseas faculty and students’ understanding of China’s laws and practices in data governance, AI, and other fields. They have also laid a solid foundation for carrying out relevant academic exchanges and cooperation in other areas between the institutions.