描述从2021年到2023年的瘤学科学摘要中人工智能内容检测的增加
Frederick M Howard1, Anran Li1, Mark F Riffon2
1Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL.
科学摘要中的人工智能 (AI) 内容正在增加,人工智能生成的文本越来越难以检测. 人工智能检测工具的准确性各不相同,这凸显了在这个不断发展的领域进行持续研究的必要性.
科学领域:
- 科学写作 科学写作
- 人工智能的人工智能是人工智能.
- 医疗信息学医学信息学
背景情况:
- 生成型人工智能 (AI) 模型可以产生与人类写作无法区分的科学摘要.
- 人工智能在科学写作中的普及程度和人工智能检测工具的有效性仍未得到充分描述.
研究的目的:
- 评估AI产生的内容在科学摘要中的普遍性.
- 评估人工智能检测工具在识别人工智能生成的科学摘要方面的性能.
主要方法:
- 分析了来自ASCO2021-2023年度会议的15553份摘要.
- 使用GPTZero,Originality.ai和Sapling检测器对AI内容概率的评估.
- 使用2020年之前 (负控) 和GPT-3/4 (正控) 摘要确定最佳检测值.
主要成果:
- 从2023年开始的摘要显示,与2021年相比,人工智能内容的可能性明显更高.
- 仅在线发布和缺乏临床试验数量与人工智能内容的增加有关.
- 人工智能检测器在识别已知的人工智能生成的摘要方面取得了很高的准确性,检测率在96%至99.5%之间.
结论:
- 在ASCO摘要中观察到人工智能产生的内容明显增加.
- 这一趋势与科学沟通中生成性AI技术的日益普及相一致.
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