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保持学术出版的科学完整性:导航人工智能,期刊政策和影响因子作为质量指标
Mahmut Enes Kayaalp1, Stefano Zaffagnini2, Michael A Mont3
1Department of Orthopaedics and Traumatology, Istanbul Fatih Sultan Mehmet Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
概括
人工智能 (AI) 和大型期刊挑战了科学完整性. 解决方案包括人工智能透明度,修订的影响指标和全球合作,以维护研究伦理.
科学领域:
- 科学完整性和伦理学
- 研究出版和评估研究.
背景情况:
- 像人工智能 (AI),大型期刊和影响因子操纵等新兴趋势对科学完整性构成重大威胁.
- 这些趋势破坏了研究中客观性,可重现性和透明性的核心原则.
研究的目的:
- 识别和分类对科学完整性的威胁.
- 为研究人员,期刊和政策制定者提出可行的解决方案,以保护科学伦理.
主要方法:
- 对科学出版和研究评估当前趋势的编辑分析.
- 综合拟议的框架和倡议,以提高研究诚信.
主要成果:
- 确定的威胁包括外部压力 (AI滥用,指标驱动的出版) 和内部缺陷 ("发布或灭亡",方法脆弱性).
- 由于大量出版,大型期刊可能会影响同行评审的严格性.
- 建议的解决方案强调人工智能透明度,重新定义影响指标和全球伦理标准.
结论:
- 需要一种平衡的方法来利用创新,同时保持科学完整性.
- 强制要求人工智能透明度和重新定义影响指标是关键的步骤.
- 全球合作和学术激励机制转向质量而不是数量对于科学的未来至关重要.
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