美国人工智能领域博士生培养:目标、路径及成效
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中国高校产学研创新基金———新一代信息技术创新项目资助课题“大数据视角下高校创新创业教育教学模式研究”(编号:2022IT034)。


The Goals, Approaches and Effects of Doctoral Candidate Training in Artificial Intelligence Field in the United States
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    摘要:

    美国人工智能领域博士生培养的目标表现为三个方面,即培养未来人工智能行业的领导者、为社会提供能够解决重大难题的人才、保持美国人工智能领域的世界领袖地位。 培养路径包括构建独具特色的核心课程体系、选择具有重要社会影响力的课题对博士生进行科研训练、强化“人工智能 +”跨学科培养、增强人工智能博士生的综合性职业素养、多方共建人工智能博士生成长激励机制等。 培养成效显著,其培养规模和质量均处于世界前列,形成了一套独具特色的培养机制,为美国在该领域的世界领袖地位奠定了基础。 从中可得出重要启示:人工智能领域博士生培养是一项需要政府、高校、社会通力合作的系统工程,核心知识体系与高水平科研能力是高质量人工智能博士生培养的内核,跨学科综合素养对培养领袖型人工智能人才至关重要。

    Abstract:

    The goals of AI doctoral training in the United States include three aspects: cultivating future AI leaders, providing the society with a group of talents capable of solving major problems, and maintaining AI status of the United States as the world leader. The cultivation paths are as follows: building a unique core curriculum system, selecting subjects with important social influence for re? search training, strengthening the interdisciplinary training of “AI + ”, enhancing its comprehensive professional quality, and jointly constructing growth incentive mechanism. And the United States has achieved remarkable results: its cultivation scale and quality are the top in the world, forming a set of unique training mechanism, and laying the foundation for the United States to become the world AI leader. It can be concluded that the training of AI doctoral students is a systematic project that requires the cooperation of the gov? ernment, universities and society, the core knowledge system and high - level scientific research ability are the core of the training of high - quality AI doctoral students, and interdisciplinary comprehensive literacy is crucial to the training of AI leading talents.

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  • 收稿日期:2023-10-07
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  • 在线发布日期: 2024-03-25
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