| 纪怡,高继卿,王雪莹,吴琪.人工智能驱动科学研究战略的国际比较与政策启示[J].全球科技经济瞭望,2026,41(2):1~9,19 |
| 人工智能驱动科学研究战略的国际比较与政策启示 |
| International Comparative Study of Artificial Intelligence for Science Strategies and Policy Implications |
| 投稿时间：2025-12-20 |
| DOI：10.3772/j.issn.1009-8623.2026.02.001 |
| 中文关键词: 人工智能；人工智能驱动科学研究；科研范式变革；国家战略；政策比较 |
| 英文关键词: Artificial Intelligence; Artificial Intelligence for Science; Transformation of the Scientific Research Paradigm; National Strategy; Policy Comparison |
| 基金项目:上海市“通用人工智能大模型”基础研究专项“面向人工智能基础研究的政策与管理机制创新路径研究”（2025SHZDZX025G19）； 2026 年度上海市人民政府决策咨询研究重点课题“上海建设高质量开放科学数据平台的对策与建议研究”（2026-JD-18）； 2025 年上海市科学学研究所能力建设项目“数智时代开放科学数据平台的体系结构与运作模式”（25SISS0202）。 |
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| 摘要点击次数: 7 |
| 全文下载次数: 6 |
| 中文摘要: |
| 人工智能驱动科学研究（Artificial Intelligence for Science，AI4S）正处于全球科技竞争前沿。
全球主要发达经济体高度重视，相继出台国家级战略，力图抢占竞争制高点。通过对美国、欧盟、英国、
日本等不同国家和地区的 AI4S 战略定位、实施路径和资源投入进行比较分析，发现 AI4S 战略呈现
出从工具价值到国际竞争关键战场、从单点突破到系统能力建设、从探索性议题到国家紧迫任务、从
分散推进到多方协同的共同趋势。基于国际战略趋势和中国科技基础、产业优势及制度特点的考量，
提出中国应加快确立 AI4S 发展的国家战略导向，强化核心能力，构筑系统性优势，部署 AI4S 发展战
略优先领域和方向，积极参与 AI4S 治理等启示建议。 |
| 英文摘要: |
| Artificial intelligence for science (AI4S) is rapidly becoming a new focal point in global
technological competition. Major developed economies, such as the United States, the European Union, the United
Kingdom, and Japan, have successively introduced national-level strategies aimed at seizing leading positions
in the transformation of scientific research paradigms. Through a systematic comparison of their strategic plans,
AI4S strategies share four common trends: shifting from instrumental value to a critical arena for international
competition, evolving from isolated breakthroughs to systemic capacity building, transitioning from an exploratory
topic to a nationally urgent task, and moving from fragmented initiatives to multi-stakeholder collaboration.
Based on an analysis of international strategic trends, as well as China’s scientific and technological foundations,
industrial strengths, and institutional characteristics, this study proposes several insights and recommendations.
These include accelerating the establishment of a national strategic direction for AI4S development, strengthening
core competencies to build systemic advantages, prioritizing key areas and directions for AI4S development, and
actively engaging in AI4S governance to shape international standards. |
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