厘清学术出版中AI生成图像的政策与使用规范
AI-Generated Figures in Academic Publishing: Policies, Tools, and Practical Guidelines
- 调研主流期刊对AI生成图像的立场与限制
- 提出透明披露与质量控制的实践指南
- 适合关注科研诚信与高效可视化者阅读
生成式AI的快速发展催生了可产出高质量科学图表、图形摘要和数据可视化的工具。然而，学术出版方对此类图像的使用政策不一且常含糊不清。本文调研了《自然》《科学》《细胞出版社》《爱思唯尔》《PLOS》等主要期刊和出版社的相关立场，识别出复现性、作者归属与视觉误导等关键关切。基于SciDraw等工具的实际案例，提出研究人员在合规透明前提下使用AI绘图工具的最佳实践指南。研究发现，通过适当披露与质量控制，AI生成图表可在不损害科研诚信的前提下显著加速科学传播。
原文摘要 · Abstract (English)
The rapid advancement of generative AI has introduced a new class of tools capable of producing publication-quality scientific figures, graphical abstracts, and data visualizations. However, academic publishers have responded with inconsistent and often ambiguous policies regarding AI-generated imagery. This paper surveys the current stance of major journals and publishers -- including Nature, Science, Cell Press, Elsevier, and PLOS -- on the use of AI-generated figures. We identify key concerns raised by publishers, including reproducibility, authorship attribution, and potential for visual misinformation. Drawing on practical examples from tools such as SciDraw, an AI-powered platform designed specifically for scientific illustration, we propose a set of best-practice guidelines for researchers seeking to use AI figure-generation tools in a compliant and transparent manner. Our findings suggest that, with appropriate disclosure and quality control, AI-generated figures can meaningfully accelerate scientific communication without compromising integrity.
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