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Youngsam Chun1,2,3, Jisoo Hur1,2, Junseok Hwang1,2,4

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国家可以通过利用现有的技术优势和整合新的科学知识来提高人工智能 (AI) 的竞争力. 专注于科学进步比仅仅增加人工智能专业化的技术复杂性更有益.

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科学领域:

  • 技术与创新研究 研究 技术与创新研究
  • 经济发展 经济发展
  • 人工智能的人工智能

背景情况:

  • 国家竞争力越来越多地与人工智能 (AI) 技术的进步有关.
  • 了解人工智能专业化的驱动因素对于经济和技术发展至关重要.
  • 现有的研究往往忽视了科学知识和人工智能的技术能力之间的相互作用.

研究的目的:

  • 调查影响人工智能 (AI) 技术国家专业化的关键决定因素.
  • 分析预先存在的技术能力和科学知识对AI专业化的影响.
  • 为寻求提高其AI竞争力的国家提供政策指导.

主要方法:

  • 利用一个揭示的比较优势矩阵来评估国际技术专业化.
  • 采用三向固定效应面板逻辑模型来分析AI专业化决定因素.
  • 研究了技术能力,科学知识和技术复杂性的影响.

主要成果:

  • 预先存在的技术能力是人工智能专业化的重要预测因素,特别是在新兴的人工智能领域.
  • 科学知识对技术专业化产生了积极的影响,强调了与技术部门整合的必要性.
  • 虽然复杂的技术有助于人工智能专业化,但科学知识显示出更强大的积极影响.

结论:

  • 各国应优先将新科学知识纳入技术领域,以提高人工智能的竞争力.
  • 通过科学整合,提高人工智能的竞争力可能比仅仅通过推进现有技术更有效地实现.
  • 政策建议侧重于利用科学和技术能力,特别是在不发达国家.