标题： 国家战略对齐模式在国家人工智能政策中 显示英文标题

标题： Strategic Alignment Patterns in National AI Policies

摘要： 本文介绍了一种新颖的视觉映射方法，用于评估国家人工智能政策的战略一致性。 各国人工智能战略的激增产生了对分析框架的迫切需求，这些框架能够评估战略目标、前瞻性方法和实施工具之间的政策一致性。 基于经济合作与发展组织人工智能政策观察站的数据，我们使用基于矩阵的可视化和网络分析相结合的方法，分析15至20个国家的人工智能战略，以识别一致性和不一致性的模式。 我们的研究结果揭示了在治理模式中存在不同的对齐原型，各国在将前瞻性方法与实施规划结合的方式上存在显著差异。 高一致性战略表现出经济竞争力目标与强大的创新资金工具之间的紧密联系，而常见的弱点包括伦理人工智能目标与相应监管框架之间的不一致。 所提出的视觉映射方法为政策分析提供了方法论上的贡献，并为增强人工智能治理中的战略一致性提供了实际见解。 这项研究弥补了政策评估方法中的重大空白，并为寻求加强技术治理框架中对齐度的政策制定者提供了可操作的指导。 显示英文摘要

摘要： This paper introduces a novel visual mapping methodology for assessing strategic alignment in national artificial intelligence policies. The proliferation of AI strategies across countries has created an urgent need for analytical frameworks that can evaluate policy coherence between strategic objectives, foresight methods, and implementation instruments. Drawing on data from the OECD AI Policy Observatory, we analyze 15-20 national AI strategies using a combination of matrix-based visualization and network analysis to identify patterns of alignment and misalignment. Our findings reveal distinct alignment archetypes across governance models, with notable variations in how countries integrate foresight methodologies with implementation planning. High-coherence strategies demonstrate strong interconnections between economic competitiveness objectives and robust innovation funding instruments, while common vulnerabilities include misalignment between ethical AI objectives and corresponding regulatory frameworks. The proposed visual mapping approach offers both methodological contributions to policy analysis and practical insights for enhancing strategic coherence in AI governance. This research addresses significant gaps in policy evaluation methodology and provides actionable guidance for policymakers seeking to strengthen alignment in technological governance frameworks.