English

AI-Generated Figures in Academic Publishing: Policies, Tools, and Practical Guidelines

Computer Vision and Pattern Recognition 2026-03-18 v1 Computers and Society

Abstract

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.

Keywords

Cite

@article{arxiv.2603.16159,
  title  = {AI-Generated Figures in Academic Publishing: Policies, Tools, and Practical Guidelines},
  author = {Davie Chen},
  journal= {arXiv preprint arXiv:2603.16159},
  year   = {2026}
}
R2 v1 2026-07-01T11:23:39.105Z