科学诚信的AI:检测手稿中的伦理违规,错误和不当行为
Diogo Pellegrina1, Mohamed Helmy1,2,3,4,5
1Vaccine and Infectious Diseases Organization (VIDO), University of Saskatchewan, Saskatoon, SK, Canada.
Frontiers in artificial intelligence
|September 18, 2025
概括
生成性人工智能 (GenAI) 提供了科学写作工具,但像纸一样带来风险. 本研究探讨了人工智能检测的研究完整性,发现当前的工具有希望,但尚未可靠的学术评估.
科学领域:
- 学术出版学术出版
- 人工智能的人工智能
- 研究诚信研究诚信
背景情况:
- 生成性AI (GenAI) 越来越多地用于科学写作,用于起草和分析.
- 风险包括未披露的人工智能作者身份,内容操纵和人工智能驱动的纸厂.
- 在GenAI时代保持研究完整性是一个日益关注的问题.
研究的目的:
- 检查在手稿中检测不道德的GenAI使用的策略.
- 调查人工智能工具用于识别科学文献中的错误.
- 评估人工智能检测和错误识别技术的现状.
主要方法:
- 审查了人工智能检测器对人写和机器生成文本的功能和局限性.
- 研究了用于检测统计错误,图像操纵和引用不准确性的AI驱动系统.
- 讨论了出版业的举措,反对人工智能驱动的造纸厂.
主要成果:
- 现有的AI检测器显示了性能差距,类型敏感性和对敌对攻击的脆弱性.
- 在研究中检测错误的AI工具正在出现,但尚未足够准确或可靠.
- 目前的人工智能发展代表了朝着人工智能辅助质量控制迈出的早期但有前途的步骤.
结论:
- 目前的AI检测和错误识别工具还没有准备好进行学术评估.
- 需要进一步开发以确保学术出版的准确性和可靠性.
- 科学出版中的人工智能辅助质量控制显示了未来的潜力.
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