明德战略对话与会嘉宾表示——中国是全球人工智能治理重要力量

Core Viewpoint - The rapid development of artificial intelligence (AI) presents both risks and challenges, necessitating international cooperation for global AI governance, with China recognized as a crucial player in this effort [1][3]. Group 1: Challenges in Global AI Governance - The current global AI governance faces three major challenges: fragmented governance systems, exacerbation of the digital divide due to technological hegemony, and the spread of complex risks across domains [2]. - There is a dilemma of "excessive rules and insufficient consensus," leading to high compliance costs for enterprises and hindering the optimal allocation of international digital resources [2]. - Approximately 80% of global data centers are controlled by developed countries, making it difficult for developing nations to leverage their data for growth, thus widening the digital divide [2]. Group 2: China's Role in AI Development - China is increasingly recognized for its significant contributions to global AI development, with companies like DeepSeek providing open-source, low-cost AI applications that help bridge the digital divide [3]. - Initiatives such as the "Global AI Governance Initiative" and the "AI+" international cooperation initiative reflect China's commitment to inclusive AI development, addressing social concerns across various sectors [3][4]. - The emphasis on multilateral cooperation over decoupling is highlighted, with calls for building green, inclusive, and democratic AI infrastructure to ensure technology benefits humanity [4]. Group 3: Industry Perspectives - The development of the AI industry requires substantial funding, energy, and infrastructure, areas where China is well-equipped and actively pursuing long-term R&D projects [4]. - The importance of an "open-source and localized deployment" approach is stressed to ensure that AI becomes a fundamental infrastructure product, akin to water and electricity [4]. - The ongoing efforts to implement global AI governance initiatives and deepen international cooperation in technology, industry collaboration, and standard alignment are crucial for promoting equitable AI development [4].