我们可以信任学术AI侦探吗? 人工智能输出检测器的准确性和局限性
Gökberk Erol1, Anıl Ergen2, Büşra Gülşen Erol3
1Department of Neurosurgery, Adiyaman Training and Research Hospital, Adiyaman, Türkiye.
Acta neurochirurgica
|August 7, 2025
概括
人工智能检测工具在识别人工智能生成的学术内容时显示中度至高精度,但假阳性仍然是研究人员的担忧. 对人工智能使用制定明确的政策对于科学完整性至关重要.
科学领域:
- 学术诚信 学术诚信
- 人工智能在科学出版中的应用
背景情况:
- 像ChatGPT这样的AI语言模型的快速发展为学术出版带来了新的挑战.
- 将人工智能生成的文本与人类作者区分开来,对于保持科学严谨和信任至关重要.
研究的目的:
- 评估人工智能生成的文本检测工具的可靠性和准确性.
- 评估在科学界使用这些工具的潜在挑战和伦理考虑.
主要方法:
- 分析了1000个文本,包括人类撰写的文章和ChatGPT生成的内容 (3.5,4和4o版本).
- 使用了三个AI输出检测器 (GPTZero,ZeroGPT,Corrector App) 来对文本进行分类.
- 对人工智能生成的内容进行抄袭检查,以评估其原创性.
主要成果:
- 人工智能生成的文本总是比人类撰写的文本获得更高的AI概率得分 (p < 0.01).
- 人工智能生成的内容显示出高度的独创性,在ChatGPT版本之间没有显著差异.
- 人工智能输出检测器实现了曲线下的面积 (AUC) 从0.75到1.00,表明有效的歧视,尽管不是100%可靠.
结论:
- 人工智能输出检测器在识别人工智能生成的学术内容方面表现有前途,但并非无误.
- 人工智能探测器的假阳性对研究人员构成风险,需要仔细解释.
- 清晰的政策和提高探测器可靠性对于科学中负责任的AI整合至关重要.
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