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相关实验视频

Updated: May 26, 2025

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在同行评审中的人工智能:提高效率,同时保持完整性

Bohdana Doskaliuk1, Olena Zimba2,3,4, Marlen Yessirkepov5

  • 1Department of Pathophysiology, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine. doskaliuk_bo@ifnmu.edu.ua.

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概括

人工智能 (AI) 工具可以提高学术出版的效率,但缺乏对微妙的同行评审的人类专业知识. 需要指导方针来平衡人工智能的好处与保持科学完整性.

关键词:
人工智能的人工智能伦理学 伦理学 伦理学开放式获取出版出版同行评审是一项同行评审.出版 出版 出版 出版 出版

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科学领域:

  • 学术传播学术交流
  • 研究中的人工智能.
  • 学术出版道德学术出版道德

背景情况:

  • 人工智能 (AI) 在学术出版中越来越多地用于语法检查和抄袭检测等任务.
  • 人工智能工具,包括大型语言模型,为简化编辑和同行评审流程提供了潜力.
  • 人工智能在科学中的整合既为提高效率提供了机会,也对传统方法提出了挑战.

研究的目的:

  • 审查科学界关于在同行评审和学术出版中使用人工智能的观点.
  • 探索AI整合在学术交流中的好处和局限性.
  • 为在学术编辑过程中负责任地使用人工智能制定建议.

主要方法:

  • 在学术出版中对人工智能应用的文献综述.
  • 在同行评审中对AI的伦理和方法考虑的分析.
  • 对AI整合的社区观点的综合.

主要成果:

  • 人工智能工具可以显著提高学术出版任务的效率和准确性.
  • 人工智能缺乏人类专家对评估研究新性和意义的细微理解.
  • 人们对人工智能偏见,透明度,问责制和同行评审中的数据隐私存在担忧.

结论:

  • 人工智能应该作为人类专家的支持工具,而不是取代学术出版.
  • 实际指导方针对于保持学术工作的完整性和质量至关重要.
  • 平衡人工智能效率与人类监督对于学术同行评审的未来至关重要.