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基于DTM的美国人工智能战略热点主题及演化分析 被引量:1

DTM-Based Analysis of Hot Topics and Evolution of American Artificial Intelligence Strategy
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摘要 [研究目的]当前中美两国在人工智能领域对抗博弈日趋激烈,通过量化分析60份美国人工智能战略报告,从时间维度挖掘美国人工智能战略的阶段战略重心及主题演化趋势,并总结相关经验提出优化我国人工智能领域的发展战略与规划。[研究方法]将美国人工智能战略报告发布分为起草发布、实施调整和加速深化三个阶段,以美国国家人工智能战略及联邦机构人工智能战略文件和人工智能法案为研究对象,采用动态主题模型,通过计算主题热度及主题相似度,分析三个阶段美国人工智能战略的战略重点及演化路径。[研究结论]DTM共挖掘出16个人工智能战略主题及各阶段的主题热点分布,研究发现美国人工智能战略重心逐渐由经济利益和基础布局转向维护国家安全,且更加注重与中国的人工智能竞争,同时未来将统筹构建人工智能创新生态。最后该文对比了中美人工智能战略主题的异同,并提出中国面临的挑战和发展意见。 [Research purpose]At present,the confrontation game between China and the United States in the field of artificial intelligence is becoming increasingly fierce.Through the quantitative analysis of 60 American artificial intelligence strategy reports,the stage strategic focus and topic evolution trend of American artificial intelligence strategy are excavated from the time dimension,and relevant experience is summarized to propose the optimization of China's development strategy and planning in the field of artificial intelligence.[Research method]The release of U.S.artificial intelligence strategy reports is divided into three stages:drafting and releasing,implementing and adjusting,and accelerating and deepening.Taking the U.S.national artificial intelligence strategy and federal agency artificial intelligence strategy documents and artificial intelligence bills as research objects,this paper adopts dynamic topic model to analyze the strategic focus and evolution path of U.S.artificial intelligence strategy in three stages by calculating topic heat and topic similarity.[Research conclusion]DTM excavates 16 artificial intelligence strategy topics and the topic hotspots distribution in each stage,and finds that the focus of U.S.artificial intelligence strategy gradually shifts from economic interests and basic layout to maintaining national security,and pays more attention to the competition with China in artificial intelligence.Also,it will coordinate and build an artificial intelligence innovation ecosystem in the future.Finally,this paper compares the similarities and differences between Chinese and American artificial intelligence strategies,And put forward China's challenges and development suggestions.
作者 吴瑞鹏 李勇男 刘帅 杨川律 Wu Ruipeng;Li Yongnan;Liu Shuai;Yang Chuanlyu(School of National Security,People's Public Security University of China,Beijing 100038;Intelligent Policing and National Security Risk Management Laboratory,Luzhou 646000;School of Police Dog Technical,Criminal Investigation Police University of China,Shenyang 110035)
出处 《情报杂志》 北大核心 2023年第12期134-143,共10页 Journal of Intelligence
基金 中国人民公安大学基本科研业务重大项目“基于群智协同的大数据驱动的‘情景-应对’型反恐决策机制研究”(编号:2021JKF106) 2023年度智慧警务与国家安全风险治理重点实验室一般项目“周期模式在反恐情报时间序列数据分析中的应用研究”(编号:2HRFYB2303)的研究成果
关键词 国家安全 美国人工智能战略 DTM 人工智能战略主题 主题演化 科技竞争 national security U.S.artificial intelligence strategy DTM ortificial intelligence strategy topic topic evolution science and technology competition
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