[目的/意义]人工智能（AI）技术已成为全球科技发展的核心议题，各国围绕AI形成的“社会技术想象”，即对AI技术未来的集体愿景，正深刻影响政策制定与发展规划。通过比较分析不同地区人工智能发展的情感倾向和政策动向，为中国人工智能政策制定及完善提供经验借鉴。[方法/过程]选取中国、美国、英国、印度及欧盟自2016年至2024年发布的重要人工智能政策35份，运用计算机辅助的主题建模及情感分析，探究其在人工智能策中体现出的社会技术想象和情感倾向。[结果/结论]中国、美国、英国、印度及欧盟高度重视AI芯片研发，并对AI赋能社会发展与增进人民福祉持有共同的期望；对数据滥用、算法歧视和系统安全性等问题存在不同程度的担忧。全球南方注重技术普惠与经济转型，全球北方更强调技术规范与风险防控；全球北方持“治理优先”的长期倾向，全球南方则从“发展优先”向“发展与治理并重”转变。AI政策的情感倾向均逐渐从积极乐观转向中立审慎。

[Purpose/significance] Artificial Intelligence (AI) has become a central issue in global technological devel⁃opment. The sociotechnical imaginaries formed in different countries, that is, the collective visions of the future of AI are profoundly shaping national policy formulation and development planning. This study conducts a comparative analy⁃sis of different region’s AI policy documents to uncover emotional orientations and policy trajectories. The findings aimto provide references for the formulation and refinement of AI policy in China. [Method/process] A total of 35 key AI policy documents published between 2016 and 2024 by China, the US, the UK, India, and the EU were selected for analysis. Using computational topic modeling and sentiment analysis, the study explores the sociotechnical imaginaries and sentiments reflected in these policy texts. [Result/conclusion] China, the US, the UK, India, and the EU placed strong emphasis on AI chip research and shared aspirations for AI to empower social development and enhance human well-being. Meanwhile, concerns about data misuse, algorithmic bias, and technical robustness and security vary in in⁃tensity. The Global South focus more on technological inclusion and economic transformation, while those in the Global North place greater emphasis on regulatory frameworks and risk mitigation. The Global North has generally exhibited a long-standing preference for a "governance-first" paradigm, while the Global South is transitioning from a "develop⁃ment-first" stance toward a more balanced approach that integrates both development and governance. Overall, the sen⁃timent expressed in AI policies has gradually shifted from optimism to a more neutral and cautious outlook.