讲座预告丨从全球南方视角评估中美人工智能发展模式

Evaluating US and Chinese AI Development Models from a Global South Perspective

Dr. Megha Shrivastava

印度PES大学助理教授，全球人工智能创新治理中心、复旦发展研究院访问学者

Assistant Professor at PES University, India; Visiting Scholar at CGAIG and FDDI

江天骄

Dr. JIANG Tianjiao

全球人工智能创新治理中心研究员，复旦发展研究院金砖中心副主任

Research Fellow, CGAIG

Deputy Director of Center for BRICS Studies, FDDI

对谈嘉宾

Discussant

姚旭

Dr. YAO Xu

全球人工智能创新治理中心秘书长，复旦发展研究院副研究员

Secretary-General, CGAIG

Associate Professor, FDDI

时间

全球人工智能创新治理中心

Center for Global AI Innovative Governance

复旦发展研究院

Fudan Development Institute

人工智能创新与治理仍主要集中于少数技术先进国家。随着美国和中国逐渐成为相互竞争的两大人工智能生态体系的核心塑造者，其监管框架、政策取向与治理标准正在深刻影响全球人工智能的扩散与应用。然而，这些源于国内实践的治理模式是否能够满足全球南方国家的发展需求与能力约束，迄今尚未得到充分关注。本讲座提出一个评估全球南方国家人工智能发展优先事项的四维分析框架，重点关注人工智能基础设施可及性、数字主权、治理能力以及发展成效。通过比较美国与中国在政策叙事和治理路径上的异同，讲座将评估两国人工智能发展模式与全球南方国家优先关切之间的契合程度。同时，通过考察印度的人工智能发展战略及其在竞争性人工智能生态体系中的定位与参与，进一步揭示不同发展模式之间的差异与张力，并探讨全球南方国家在人工智能时代的战略选择。 

AI innovation and governance remain concentrated within a small group of technologically advanced countries. As the United States and China emerge as the principal architects of competing AI ecosystems, their regulatory frameworks, policy approaches, and governance standards are increasingly shaping global AI adoption. Yet, relatively little attention has been paid to whether these domestically developed models are compatible with the priorities and capacities of Global South countries. This lecture introduces a four-dimensional framework for assessing Global South priorities in AI adoption, focusing on AI infrastructure access, digital sovereignty, governance capacity, and developmental outcomes. Through a comparative analysis of policy narratives and governance approaches in the United States and China, the lecture evaluates the extent to which their AI development models align with these priorities. The discussion further highlights areas of divergence by examining India's AI development strategy and its engagement with competing AI ecosystems.