人类写作与人工智能生成的文本在骨科学术文献:比较的定性分析
Hassan Tarek Hakam1,2,3, Robert Prill2,3, Lisa Korte4
1Center of Orthopaedics and Trauma Surgery, University Clinic of Brandenburg, Brandenburg Medical School, Brandenburg an der Havel, Germany.
JMIR formative research
|February 16, 2024
概括
研究人员无法区分人类撰写的和人工智能生成的骨科科学摘要. 这项研究强调了在医学文献中推进人工智能 (AI) 保持学术诚信所面临的挑战.
科学领域:
- 整形外科 整形外科 整形外科
- 运动医学 运动医学
- 医学学术文学 医学学术文学
背景情况:
- 大型语言模型 (LLM) 在医疗保健中越来越多地使用,这引发了人们对医疗写作真实性的担忧.
- 人工智能 (AI) 可以生成高度准确和语法健全的文本,挑战传统的学术标准.
研究的目的:
- 在骨科和体育医学领域比较人类撰写和人工智能生成的科学文献.
- 评估研究人员和人工智能检测软件对人工智能生成文本的检测能力.
主要方法:
- 选择了五篇PubMed摘要,并使用两个不同水平的LLM重写.
- 具有不同专业知识的研究人员根据语言和方法参数对摘要进行了排名.
- 参与者将摘要分类为由人写的或由人工智能生成的.
主要成果:
- 无论是研究人员还是AI检测软件都无法可靠地识别AI生成的摘要.
- 确定人工智能生成文本的标准与研究人员的判断或准确性没有相关性.
结论:
- 在这项研究中,研究人员无法区分LLM生成和人类撰写的文本.
- 样本的小规模限制了概括性;需要进一步的研究来评估人工智能对学术诚信的影响.
- 透明度和研究人员诚信对于减轻AI在学术研究中的潜在危害至关重要.
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