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| 眼见不一定为实：科技期刊编辑如何识别AI造假图片 |
| Seeing is not necessarily believing: How editors of scientific journals identify AI-generated fake images |
| 投稿时间：2026-07-16 修订日期：2026-07-16 |
| DOI： |
| 中文关键词: AI造假图片 |
| 英文关键词: AI-generated fake images |
| 基金项目: |
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| 摘要点击次数: 102 |
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| 中文摘要: |
| 随着AIGC（生成式人工智能）迅猛发展，文生图能力持续迭代，科研图片的生成与处理门槛大幅降低，虽然这在一定程度上提升了科研制图效率，但也增加了图片真实性审校的难度，“眼见不为实”成为常态。本文就如何识别AI造假图片展开探讨。 |
| 英文摘要: |
| With the rapid development of AIGC (generative artificial intelligence) and the continuous improvement of text-to-image capabilities, the generation and processing of scientific research images have seen a significant reduction in barriers. Although this has improved the efficiency of scientific research image production to some extent, it has also increased the difficulty of verifying the authenticity of images. "Seeing is not believing" has become the norm. This article explores how to identify AI-generated fake images. |
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