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了
Martin Májovský1, Martin Černý1, Matěj Kasal2
1Department of Neurosurgery and Neurooncology, First Faculty of Medicine, Charles University, Prague, Czech Republic.
Journal of medical Internet research
|May 31, 2023
概括
人工智能 (AI) 可以在一个小时内产生令人信服的欺诈性科学论文. 虽然复杂,但专家审查可以检测错误,强调需要警AI在研究中的滥用.
科学领域:
- 医学研究 医学研究
- 人工智能的人工智能
- 科学出版科学出版
背景情况:
- 人工智能 (AI) 的进步在科学研究中提供了好处,但也使复杂的欺诈性纸张生成成为可能.
- 科学出版物的完整性受到人工智能创造无法检测的假研究潜力的挑战.
研究的目的:
- 评估当前人工智能语言模型在生成高质量的欺诈性医疗文章方面的能力.
- 为了确定人工智能产生的论文是否可以欺骗读者和研究人员.
主要方法:
- 利用ChatGPT (由GPT-3提供动力) 来生成一个伪造的神经外科文章.
- 代精细提示创建一个完整的文件,包括文本,数据和引用.
- 由神经外科,精神病学和统计学专家进行的专家审查评估了准确性和一致性.
主要成果:
- 人工智能成功生成了一个令人信服的欺诈性文章,在结构和语言上模仿了真正的科学论文.
- 包括参考文献在内的1992个字的文章大约在一小时内创建.
- 专家审查人员发现了一些轻微的不准确性,特别是在参考文献中.
结论:
- 目前的人工智能模型可以生产复杂的伪造科学文章.
- 专家审查是必要的,以检测AI产生的不准确性,强调需要增强的检测方法.
- 在合法的科学写作中,平衡人工智能的滥用潜力与它的好处至关重要.
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