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ChatGPT 确定了科学同行评审中的性别差异
1Department of Molecular and Cell Biology and Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, United States.
eLife
|November 3, 2023
概括
人工智能 (AI) 分析了同行评价,发现了主观性和礼貌. 人工智能揭示了性别偏见,女性作者收到的评论不那么有礼,突出了人工智能.
科学领域:
- 神经科学是一个神经科学.
- 科学出版科学出版
- 人工智能的人工智能
背景情况:
- 同行评审过程对于科学质量至关重要,但面临主观性问题.
- 传统的语言模型难以对专门的科学文本进行细微分析.
研究的目的:
- 使用人工智能调查科学同行评审中的主观性和潜在偏见.
- 评估生成AI (ChatGPT) 在分析同行评审报告中的有效性.
主要方法:
- 分析了来自200篇发表的神经科学论文 (2022-2023) 的500多篇同行评审报告.
- 使用OpenAI的ChatGPT来处理评论文本的自然语言处理.
- 将人工智能分析与传统语言模型进行比较.
主要成果:
- 聊天GPT在分析科学语言方面表现出卓越的表现.
- 大多数评论都是有利的 (89.8%) 和有礼的 (99.8%),但显著的得分变化表明主观性.
- 女性第一作者比男性同龄人收到的评论不那么有礼貌,这表明性别偏见.
- 有女性资深作者的论文比有男性资深作者的论文获得了更有利的评论.
结论:
- 生成型人工智能显示出分析专业科学文本和在同行评审中识别问题的潜力.
- 这项研究强调了科学同行评审中主观性和性别偏见的存在.
- 透明的同行评审对于研究和提高科学出版的公平性至关重要.
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