On November 9, the World Internet Conference Data Working Group Wuzhen Coffee Club, co-sponsored by the World Internet Conference Data Working Group and Fuxi Think Tank, was held during the 2023 World Internet Conference Wuzhen Summit.
The café was presided over by Liang Hao, executive deputy secretary-general of the World Internet Conference and head of the data working group. Li Xiaodong, deputy leader and convener of the working group and founder of Fuxi Think Tank, introduced the progress of the working group and the next work plan. Nearly 50 well-known experts and scholars from the global data field and high-level representatives of member units participated in the café to conduct in-depth discussions and exchanges on policy and technical issues in key areas such as cross-border data flow, generative artificial intelligence and data sharing, and data infrastructure in international data cooperation.
In the session of "Needs, Principles and Practices of Cross-border Data Flows", Xue Lan, Senior Advisor of the Working Group and Senior Professor of Liberal Arts at Tsinghua University, Professor Bernd Holznagel, Director of the Institute of Information, Telecommunications and Law at the University of Münster, Germany, Shi Delling, Personal Envoy of the President of the International Committee of the Red Cross (ICRC) for China and Director of the ICRC Regional Delegation for East Asia, Miao Wande, President of the US Information Industry Organization, and Member of the China Digital Economy 50 Forum. Li Zhenhua, President of Ant Group Research Institute, Yu Jiawei, CIO of Tesla Greater China and Asia Pacific, Zhang Hao, Director of Public Policy Research of SAP and other experts and business representatives participated in the discussion. Panelists generally agreed that cross-border data flow is essential for promoting economic growth, It is of great significance to realize global economic, trade, scientific and technological cooperation and improve social welfare, and it is necessary to take into account the convenience of data circulation and the security of privacy protection, support major countries and regions to reach a consensus on the principles of cross-border data cross-border on the basis of multi-party consultation, form a clear rule system for specific application scenarios through the establishment of international exchange and cooperation mechanisms for cross-border data flows, continuously improve the interoperability of governance mechanisms, and reduce the uncertainty of data policies and cross-border compliance costs, so as to realize the orderly flow of data across borders and ensure the responsible use of data。
In the session of "Generative Artificial Intelligence and Data Sharing", Meng Qingguo, deputy leader of the working group, professor of the School of Public Policy and Management of Tsinghua University, and executive director of the Institute of National Governance, Jane Calben, managing director of the Institute of Information, Communication and Law of the University of Münster, Germany, and Pablo Carpenter, director of the Strategy Center of the Asia-Pacific Internet Information Center. Enohsa Wang, Director of Technology Policy and Standards at Intel Corporation, Hou Shengli, Senior Vice President and Chief Technology Officer of Cisco Greater China, Bai Fengjun, Senior Director of International Business Machines Corporation (IBM), Sun Shuo, Senior Data Security Expert, and other experts and business representatives participated in the discussion. Panelists generally agreed that data sharing is the key to the development of high-quality generative AI, and that it is necessary to encourage different generative AI service providers to share data through data rights confirmation, the establishment of revenue distribution mechanisms, and the provision of necessary copyright protection, and at the same time support innovative data sharing intelligent tools to achieve convenient and secure sharing of data between different platforms at low cost. In terms of promoting the open sharing of public data to support the training of artificial intelligence models, experts suggest that the "troika" of public data sets, public data platforms and data operation institutions should be used to promote the release of public dataIn terms of quickly building large-scale shared datasets, experts suggest improving the level of precise governance and focusing the governance objects on the smallest data units to achieve the availability and reusability of the overall training dataset and reduce costs.
In the topic of "Data Infrastructure Co-construction and Sharing", Hou Shengli, Senior Vice President and Chief Technology Officer of Cisco Greater China, Xie Danxia, Chief Digital Economist of Fuxi Think Tank and Ph.D. Supervisor of the Institute of Economics of the School of Social Sciences of Tsinghua University, Hu Yongqi, Director of ** Affairs of Lenovo Group, Zhu Linjie, Director of Data Security of Alibaba, and other experts and business representatives participated in the discussion. The panelists believed that data infrastructure is the key to realizing the interconnection and interoperability of data in different fields, different regions and different levels. The data infrastructure supports the data provider to form effective control over the data, has the ability to identify and index the data, authenticate and authorize, and securely exchange the data, can make judgments on the identification, reliability, integrity and authenticity of the generated content, and build a trust mechanism between the data supply and demand sides to ensure the compliance of data utilization. Data infrastructure requires the cooperation of other digital infrastructure, such as computing power and network, to better meet the needs of new technologies, new business formats, and new applications such as cross-border data and generative AI. At the same time, due to the non-competitive nature of data and algorithms, it is necessary to promote the formation of an international consensus on data infrastructure.
Established in October 2023, the Data Working Group of the World Internet Conference is composed of 40 experts and scholars from the global data field and representatives of well-known enterprises, and is committed to building an international exchange platform in the field of data, gathering the strength of all parties to discuss hot topics, and contributing to the building of international consensus.