开放科学和软件援助:关于"人工智能可以生成欺诈性但看起来真实的科学医学文章:潘多拉的盒子已经打开"的评论
1Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.
Journal of medical Internet research
|May 31, 2023
概括
聊天GPT可以用假数据生成整个科学论文,对研究完整性构成威胁. 解决这个问题需要解决科学出版的可复制性和透明度问题.
科学领域:
- 科学完整性 科学完整性
- 研究中的人工智能.
- 学术出版学术出版
背景情况:
- 对于使用高级人工智能模型 (如ChatGPT) 来生成科学内容的担忧.
- 人工智能产生的作品可能包括伪造的数据和表格.
- 现有的科学可重复性和透明度挑战加剧了与人工智能相关的风险.
研究的目的:
- 调查使用ChatGPT用于完成科学工作的后果.
- 探索人工智能为研究带来重大关注的根本原因.
- 确定管理人工智能生成的科学内容的潜在策略.
主要方法:
- 在科学写作中对AI能力的文献评论.
- 分析围绕人工智能产生的研究的伦理问题.
- 探索当前科学可复制性和可见性的差距.
主要成果:
- 聊天GPT可以制作完整的科学文章,包括伪造的数据.
- 这些风险超越了人工智能模型,涉及到研究中的系统性问题.
- 缺乏可复制性和透明度有助于不准确的工作的扩散.
结论:
- 使用像ChatGPT这样的AI来生成科学作品是一个严重的挑战.
- 解决复制性和可见性差的根本原因至关重要.
- 制定策略以减轻人工智能产生的欺诈或不准确研究风险是必不可少的.
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