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聊天GPT难题:人工智能文本检测工具误认为人工智能创作的人类生成的科学手稿
Hooman H Rashidi1,2, Brandon D Fennell3, Samer Albahra1,2
1Pathology and Laboratory Medicine Institute (PLMI), Cleveland Clinic, Cleveland, OH, United States.
Journal of pathology informatics
|December 20, 2023
概括
人工智能文本检测器难以区分人类写作,错误地标记了高达8%的真正科学摘要是人工智能生成的. 这凸显了当前人工智能检测工具的局限性,需要改进方法.
科学领域:
- 人工智能的人工智能
- 自然语言处理自然语言处理.
- 科学沟通科学沟通
背景情况:
- 像ChatGPT这样的AI聊天机器人正在推进文本生成能力.
- 检测人工智能生成的文本面临限制和争论.
- 现有的研究主要集中在检测人工智能文本,而不是人类文本.
研究的目的:
- 评估人工智能文本检测工具区分人类生成的科学文本的能力.
- 评估人工智能探测器在大量真实科学摘要上的性能.
主要方法:
- 利用来自主要期刊的成千上万个科学摘要.
- 分析了1980年至2023年间发表的摘要.
- 测试了AI文本检测工具的预测准确性.
主要成果:
- 人工智能文本检测器错误地识别了高达8%的真正的人写摘要是人工智能生成的.
- 在当前的人工智能检测技术中展示了显著的局限性.
结论:
- 当前的人工智能文本检测器在准确识别人类生成的文本方面存在缺陷.
- 需要新的检测方法或混合方法来克服这些局限性.
- 解决这些问题对于导航不断变化的AI景观至关重要.
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