由生成人工智能产生的幻觉引用可能构成研究不当行为,当引用在学术论文中的数据功能.
David B Resnik1, Mohammad Hosseini2,3
1National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA.
Accountability in research
|March 15, 2026
概括
生成型人工智能 (GenAI) 可以产生幻觉引用,如果作为未经验证的数据使用,可能构成研究不当行为. 研究人员必须确保引用准确性,以维护学术完整性和负责任的AI使用.
科学领域:
- 学术传播学术交流
- 研究诚信研究诚信
- 人工智能伦理学 人工智能伦理学
背景情况:
- 生成型人工智能 (GenAI) 工具在学术写作中越来越多地使用.
- 由GenAI生成的幻觉引用 (不存在的引用) 构成了重大挑战.
- 现有的关于研究不当行为的规定可能适用于使用伪造的引文.
研究的目的:
- 定义GenAI幻觉引用可能被认为是研究不当行为的条件.
- 要区分研究不当行为和关于引用错误的不良奖学金.
- 倡导建立在研究中负责任地使用人工智能的标准.
主要方法:
- 对美国有关研究不当行为的联邦法规的分析.
- 基于案例的推理,以评估GenAI幻觉引用符合不当行为标准的潜力.
- 关于人工智能伦理和学术出版标准的文献评论.
主要成果:
- 当被用作未经验证的支持数据时,GenAI幻觉引用可能构成研究不当行为,满足特定的联邦标准.
- 在文献计量上不正确或在上下文上不准确的引用,虽然表明学术水平不佳,但不符合不当行为的门.
- 无法验证GenAI输出的准确性和真实性是确定不当行为的关键因素.
结论:
- 承认GenAI幻觉引用可能是研究不当行为,鼓励研究人员更加勤奋.
- 学术界,与机构和资助者合作,必须制定和执行人工智能使用标准,特别是引用实践.
- 积极的措施和明确的指导方针对于在人工智能时代保持研究完整性至关重要.
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