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.
Journal of Korean medical science
|February 25, 2025
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.
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.
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