AI治理，需要多元工具协同应用

Core Viewpoint - The establishment of effective governance mechanisms for artificial intelligence (AI) is crucial for promoting technological innovation while managing potential risks associated with its rapid development [1][6]. Group 1: AI Governance Dimensions - AI governance is a dynamic, multi-dimensional process involving various tools and stakeholders aimed at shaping the direction and boundaries of AI development to align with social values [3][4]. - The ethical and value dimension focuses on fundamental ethical principles that AI systems should adhere to, such as safety, transparency, fairness, and accountability [3][4]. - The policy support and market incentive dimension emphasizes the role of government in fostering AI innovation through financial investment, research funding, and regulatory frameworks [4][5]. - The regulation and standards dimension includes legal frameworks, technical standards, and compliance mechanisms essential for effective governance [5][6]. Group 2: Global AI Governance Challenges - The first challenge is the differentiation in governance due to varying technological paths across countries, leading to discrepancies in risk perception and governance tools [6][8]. - The second challenge is the mismatch between the rapid pace of AI technological advancement and the slower evolution of governance frameworks, resulting in a lag in regulatory responses [7][9]. - The third challenge involves the complexity of global governance mechanisms, which often lack coordination and can lead to inefficiencies and conflicts among different regulatory bodies [8][9]. - The fourth challenge is the impact of geopolitical factors, which can hinder international cooperation on AI governance, making it difficult to address cross-border risks effectively [10][11].