国内外专家谈人工智能全球治理——坚持智能向善 增进人类福祉（权威论坛）

Core Viewpoint - The rapid development of artificial intelligence (AI) is creating both opportunities and risks, necessitating a global governance framework to ensure AI benefits humanity and is effectively managed [1][2][3]. Group 1: AI Governance Challenges - The current global governance landscape for AI is fragmented, lacking a unified and effective system, primarily relying on soft laws rather than binding international regulations [2][3]. - The emergence of a new digital divide due to AI advancements poses significant risks, including misuse and systemic failures, highlighting the need for improved risk governance [1][2]. Group 2: Importance of International Cooperation - The development of AI is characterized by cross-border, cross-platform, and cross-industry dynamics, making international coordination essential to avoid competitive races that overlook safety and ethical considerations [3][11]. - Multilateral cooperation is crucial for effective AI governance, as no single country can manage the complexities of AI alone [11][12]. Group 3: Ethical and Human-Centric Approaches - Emphasizing a human-centered approach in AI governance is vital for ensuring that technology serves societal progress and human welfare [7][8]. - The principle of "AI for good" aligns with universal human values, establishing a moral baseline for AI development and deployment [9][10]. Group 4: Global Participation and Equity - There is a significant imbalance in AI governance, with developed countries holding more influence, while voices from the Global South remain underrepresented [4][5]. - Initiatives like the United Nations' establishment of an international AI science group reflect a collective desire to bridge the digital divide and promote equitable AI governance [5][13]. Group 5: China's Role in AI Governance - China has proposed several initiatives aimed at enhancing global AI governance, focusing on inclusive and sustainable development [14]. - The country emphasizes the importance of collaborative frameworks that involve multiple stakeholders, including governments, businesses, and civil society, to address governance challenges effectively [14].