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中国电子:WAIC2025前沿聚焦(2):中国倡建全球AI治理新框架

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The report emphasizes China's ambition to establish a leadership role in global AI governance, proposing a new framework that focuses on inclusive sharing, innovative cooperation, and joint governance of AI [2][8] - The "Action Plan for Global AI Governance" released during the conference outlines a systematic governance philosophy aimed at balancing development and security while promoting AI as an international public good [2][9] - The report highlights the importance of supporting developing countries, particularly in the Global South, to bridge the "intelligence divide" through capacity building and technology sharing [4][10] Summary by Sections Event Overview - On July 26, 2025, Premier Li Qiang attended the World Artificial Intelligence Conference in Shanghai, emphasizing AI's role in economic growth and proposing the establishment of a World AI Cooperation Organization [1][7] Governance and Development - The report reflects a dual-track approach to governance, advocating for a balance between innovation and security, with specific measures to manage risks associated with AI development [3][9] - The core principles of the governance framework include "for good and for the people, respect for sovereignty, and development-oriented" [2][8] Inclusivity and Support for Developing Countries - The report stresses the need for inclusivity in AI governance, with a focus on assisting developing countries to enhance their AI capabilities [4][10] - Specific articles in the "Action Plan" call for international cooperation to help these countries develop AI technologies according to their national conditions [4][10] Open Cooperation and Multi-Stakeholder Engagement - The report advocates for an open and cooperative global ecosystem, encouraging participation from various stakeholders, including governments, international organizations, and civil society [5][11] - It emphasizes the need to build a governance model that acknowledges the complexity of AI governance and promotes collective action [5][11]