Panel Overview
Panel Chairs: Di WANG, Renmin University of China; Yi Bu, Peking University
Location: Beijing, China (Beihang University)
Time: 17th July 2026, 9:00-11:30
Panel Chairs and Panelists
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Di Wang (Chair)
Associate Professor
di.wang@ruc.edu.cn
Renmin University of China
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Yi Bu (Chair)
Assistant Professor
buyi@pku.edu.cn
Peking University
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Xi Wang
Professor and Associate Dean
xiwang@cufe.edu.cn
Central University of Finance and Economics (CUFE)
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Yang Zhang
Assistant Professor
zhang-yang@ruc.edu.cn
Renmin University of China
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Yali Peng
Associate Professor
yalip@ruc.edu.cn
Renmin University of China
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Na Ta
Associate Professor
tanayun@ruc.edu.cn
Renmin University of China
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Yanyan Wang
Associate Professor
yanyanwangruc@ruc.edu.cn
Renmin University of China
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Xiaoning Wang
Associate Professor and Master’s Supervisor
sdwangxiaoning@foxmail.com
Communication University of China
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Panel Description
Artificial intelligence (AI) has become a transformative force in digital economy, public governance, global business, and social development. As AI systems are increasingly embedded in cross-border data flows, platform ecosystems, public decision-making, enterprise expansion, and sociotechnical infrastructures, AI governance challenges have also become more complex, interconnected, and global in nature.
Different countries and regions continue to diverge in their regulatory approaches, cultural perceptions of AI, legal priorities, and infrastructure strategies. These differences affect not only how AI is governed, but also how security is maintained, innovation is supported, and social harmony is sustained in a technologically mediated world. This panel addresses these challenges through the theme “Global Cooperation in AI Governance: Interdisciplinary Pathways toward Security, Innovation, and Social Harmony.” It brings together four complementary presentations that examine AI governance from the perspectives of international standards and policy evolution, public trust shaped by culture and media, legal value conflicts and alignment in large language models (LLMs), and the opportunities and risks associated with the global expansion of AI infrastructure.
Together, these perspectives highlight that AI governance is not merely a technical or regulatory issue. It is also a deeply interdisciplinary project that must reconcile national security concerns, innovation imperatives, normative diversity, and the broader goal of social stability and cooperation. The panel will be organized as two 70-minute sessions with a 10-minute break in between. Both sessions will follow the structure of three 15-minute presentations from three panelists and one 25-minute discussion involving both the panelists and the audience.
The discussion segment will include two forms of interaction. (1) The moderator will organize live audience polling based on several questions related to the panel theme. The polling results will be shared in real time and used to stimulate further conversation among the panelists. (2) The panel will include an open Q&A session, during which audience members will be invited to ask questions and offer comments. The panelists will respond not only to the audience, but also to one another, enabling a dynamic and integrative discussion. This format is intended to move beyond a sequence of standalone presentations and create a genuine platform for interdisciplinary exchange.
Overall, this panel seeks to contribute to ICEB 2026 by offering a timely and interdisciplinary discussion of AI governance in a global context. It will provide participants with a deeper understanding of the institutional, legal, industrial, social, and human dimensions of AI governance, while also opening space for international dialogue on collaborative strategies for responsible AI development and use.
Participation Statement
All panelists have committed to attending the conference and serving on the panel if the panel is accepted.
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