70%期刊有AI政策，但写作工具使用激增，透明度仍极低。
Academic journals' AI policies fail to curb the surge in AI-assisted academic writing
- 分析5114个期刊超520万篇论文，评估政策实效
- 75000篇2023年后发表论文中仅76篇披露使用AI
- 物理科学和开放获取期刊的AI使用增长最快
生成式AI在学术写作中的快速渗透促使期刊和出版商广泛出台政策。然而，这些政策的实际效果尚不明确。我们分析了5,114种期刊及超过520万篇论文，评估AI使用指南的真实影响。结果显示，尽管70%的期刊已采用AI政策（主要为要求披露），但各学科研究人员使用AI写作工具的情况显著上升，且有无政策的期刊之间无明显差异。非英语国家、物理科学领域以及高开放获取（OA）期刊的使用增长率最高。关键的是，对16.4万篇科学论文的全文分析显示，存在严重透明度缺口：在2023年以后发表的7.5万篇论文中，仅有76篇（约0.1%）明确披露了AI使用情况。研究结果表明，当前政策在促进透明度或抑制AI采纳方面基本失效。我们呼吁重新审视伦理框架，以推动科学领域负责任的AI整合。
原文摘要 · Abstract (English)
The rapid integration of generative AI into academic writing has prompted widespread policy responses from journals and publishers. However, the effectiveness of these policies remains unclear. Here, we analyze 5,114 journals and over 5.2 million papers to evaluate the real-world impact of AI usage guidelines. We show that despite 70% of journals adopting AI policies (primarily requiring disclosure), researchers' use of AI writing tools has increased dramatically across disciplines, with no significant difference between journals with or without policies. Non-English-speaking countries, physical sciences, and high-OA journals exhibit the highest growth rates. Crucially, full-text analysis on 164k scientific publications reveals a striking transparency gap: Of the 75k papers published since 2023, only 76 (~0.1%) explicitly disclosed AI use. Our findings suggest that current policies have largely failed to promote transparency or restrain AI adoption. We urge a re-evaluation of ethical frameworks to foster responsible AI integration in science.
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