瞭望 | 构建全球治理行动共同体

Core Insights - The article emphasizes the urgent need to establish a global governance framework for artificial intelligence (AI) to address the current action deficit in governance, driven by the principles of shared development and cooperation [1][14] - AI is rapidly transforming societal structures, characterized by deep technological breakthroughs, widespread application, and significant industrial scaling [2][3] Group 1: Technological and Industrial Developments - AI technology is experiencing rapid advancements, with model iterations occurring on a monthly basis, leading to a new paradigm of "human-machine collaboration" [2][3] - The user base for generative AI applications, such as ChatGPT, has surpassed 400 million globally, with China's generative AI product users reaching 249 million [2][3] - The core AI industry in China is projected to approach 600 billion yuan by 2024, with global AI market size expected to reach 4.8 trillion USD by 2033 [2][3] Group 2: Governance Challenges - The article identifies a significant disconnect between the rapid pace of AI technological advancements and the slower response of governance frameworks, leading to a systemic crisis in governance [3][5] - There is a fragmentation in global governance, with competing national strategies and ideologies hindering effective international cooperation [6][7] - The current governance landscape is characterized by an abundance of non-binding ethical guidelines and standards, but a lack of enforceable international treaties [8][9] Group 3: Action Deficit in Global Governance - The action deficit in AI governance manifests in four key areas: consensus stagnation, governance reversal, execution vacuum, and accountability deficiency [8][9] - International agreements on AI ethics often remain abstract, lacking concrete implementation pathways, which slows down governance progress [8][9] - The absence of a robust accountability mechanism undermines the credibility and stability of the governance framework [9] Group 4: Proposed Solutions - The article advocates for a pragmatic approach to AI governance, emphasizing the need for a multi-stakeholder collaborative network that includes governments, international organizations, tech companies, and civil society [15][16] - It suggests a dual-track approach focusing on both immediate security risks and long-term development needs, particularly for developing countries [16][17] - The establishment of a distributed governance network that combines existing international organizations with new platforms is proposed to enhance coordination and effectiveness in AI governance [16][17]