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美军推进人工智能军事应用的举措、挑战及启示
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The measures,challenges and implications of the U.S. Army in advancing the military application of artificial intelligence
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    摘要:

    人工智能技术的发展加速了军事智能化的脚步。本文分析了美军在推进人工智能军事应用方面采取的一系列举措,如注重国家战略层面的顶层设计,出台一系列智能化发展战略规划;部署各类军事智能化研究项目,开展大数据、智能算法研究,促进人工智能技术向情报处理、无人作战平台、指挥控制、武器装备系统、作战方式变革的渗透转化;重视智能化技术的基础理论研究和人才培养,聚焦核心和关键技术的突破,夯实军事智能化发展的基础。阐述了美军在推进人工智能军事应用进程中面临的来自技术、信任、伦理等多方面的挑战,并从成熟算法民转军用、寻求认知智能算法突破、培养军事智能化复合型人才等角度提出几点启示。

    Abstract:

    The development of artificial intelligence technology accelerates the pace of military intelligence. The U.S. has taken a series of steps to promote the military application of artificial intelligence. Firstly,the US has attached great importance to strategic design at the top level and issued a series of intelligent development strategic plans. Secondly,by the deployment of various military intelligent research projects,the investigation on big data and intelligent algorithms have been carried out to promote the penetration and transformation of artificial intelligence technologies in the fields of intelligence processing,unmanned combat platforms,command and control,weapons and equipment systems and operational mode reform. Thanks to these measures,the U.S. pays great attention to the basic theoretical research and personnel training of intelligent technology,focuses on breakthroughs in core and key technologies,and lays a solid foundation for the development of military intelligence. It is pointed out that the U.S. is also faced with challenges from technology,trust,ethics in the process of advancing the military application of artificial intelligence. At last,some implications and suggestions are put forward to promote military application of mature algorithms,break through cognitive intelligence algorithms,and train military intelligence inter-disciplinary talents. 

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曾子林.美军推进人工智能军事应用的举措、挑战及启示[J].国防科技,2020,41(4):106-110;ZENG Zilin. The measures,challenges and implications of the U. S. Army in advancing the military application of artificial intelligence[J]. National Defense Technology,2020,41(4):106-110

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  • 在线发布日期: 2020-09-02
  • 出版日期: 2020-08-31

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