Navigating the In-Between Space: The Roles of Chinese Think Tanks in Artificial Intelligence Governance

IF 2.2 3区 社会学 Q1 INTERNATIONAL RELATIONS
Qiaochu Zhang
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Abstract

As the global landscape of Artificial Intelligence (AI) governance rapidly evolves, research has increasingly moved beyond state-centric perspectives to investigate the role of non-state actors. This paper focuses on an underexplored category of such actors: think tanks, specifically two prominent Chinese institutions—the China Academy of Information and Communications Technology (CAICT) and the Centre for International Security and Strategy (CISS). Drawing on the Communities of Practice (CoPs) approach, this study investigates how these think tanks shape the emerging governance framework for AI technologies by leveraging their position at the boundaries between various CoPs. Specifically, this position of in-betweenness enables them to influence AI governance through acting as boundary brokers. They bridge different Chinese CoPs—including the government, the private sector, and academia—and, in some cases, international CoPs, facilitating engagement and exchange across these communities. This paper also finds that due to differences in their organisational types and relationships with the Chinese government, CAICT and CISS influence AI governance in subtly distinct ways. This paper contributes to CoP scholarship by examining its applicability in an authoritarian context and is among the first to provide a timely empirical analysis of the role of Chinese think tanks in AI governance.

导航中间空间:中国智库在人工智能治理中的作用
随着人工智能(AI)治理的全球格局迅速发展,研究越来越多地超越以国家为中心的视角,转而研究非国家行为体的作用。本文关注的是此类行为者中尚未被充分发掘的一类:智库,特别是两家著名的中国机构——中国信息通信技术研究院(CAICT)和国际安全与战略中心(CISS)。利用实践社区(cop)方法,本研究调查了这些智库如何通过利用其在各种cop之间的边界上的地位来塑造人工智能技术的新兴治理框架。具体来说,这种中间位置使他们能够通过充当边界经纪人来影响人工智能治理。它们在不同的中国缔约方之间架起桥梁,包括政府、私营部门和学术界,在某些情况下,还包括国际缔约方,促进了这些社区之间的参与和交流。本文还发现,由于其组织类型和与中国政府关系的差异,CAICT和CISS以微妙不同的方式影响人工智能治理。本文通过考察其在威权背景下的适用性,为CoP学术做出了贡献,并且是第一批及时对中国智库在人工智能治理中的作用进行实证分析的论文之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Global Policy
Global Policy Multiple-
CiteScore
3.60
自引率
10.50%
发文量
125
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