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人工智能内容检测器的性能使用人类和人工智能生成的科学写作
Madelyn A Flitcroft1, Salma A Sheriff1, Nathan Wolfrath1
1Department of Surgery, Division of Surgical Oncology, Medical College of Wisconsin, Milwaukee, WI, USA.
Annals of surgical oncology
|June 22, 2024
概括
公共可用的人工智能 (AI) 内容检测器在识别人工智能生成的科学文章方面表现不同. 人类撰写的文章有时被错误分类,突出了对这些人工智能检测工具的持续评估的需要.
科学领域:
- 科学写作 科学写作
- 人工智能 (AI) 内容检测内容检测
- 学术出版学术出版是一门学术出版业.
背景情况:
- 有限的研究存在于科学写作中AI内容检测的有效性.
- 这项研究评估了人工智能内容检测器在人类撰写和人工智能生成的科学文章上的性能.
研究的目的:
- 评估公开可用的AI内容检测工具的准确性.
- 为了比较人类写的科学手稿与人工智能生成的科学手稿的检测率.
主要方法:
- 从外科瘤学年鉴 (2022) 中分析了449篇由人类撰写的文章和47篇使用ChatGPT生成的AI文章.
- 通过三个AI内容检测器进行评估,评估完整的手稿和单个部分.
- 使用ANOVA,线性回归和曲线下的面积 (AUC) 进行统计分析以进行分类.
主要成果:
- 人类撰写的文章显示,人工智能生成的平均概率为9.4%,检测器具有显著的变化.
- 只有0.4%的人类撰写的文章始终被确定为所有检测器生成的0%AI.
- 人工智能生成的文章的平均AI生成概率更高 (43.5%),从12.0%到99.9%不等.
结论:
- 人工智能内容检测器表现出性能差异,存在错误分类人类编写内容的风险.
- 由于人工智能模型和检测技术的快速发展,对AI检测器的持续评估和验证至关重要.
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