在2024年真正的图像
1H. Holden Thorp Editor-in-Chief, Science journals.
Science (New York, N.Y.)
|January 4, 2024
概括
科学期刊正在使用人工智能 (AI) 来检测研究论文中的操纵图像. 这项技术有助于确保科学出版物的完整性,并保持公众对研究成果的信任.
科学领域:
- 科学出版
- 研究诚信
- 图像分析
背景情况:
- 在科学出版物中对图像操纵的担忧越来越大,包括显微镜,流细胞测量和西部斑点.
- 不故意的改变可能会发生,但故意的操纵会对研究完整性和公众信任构成风险.
- 像PubPeer这样的知名平台和Elisabeth Bik这样的专家对于识别形象缺陷至关重要.
研究的目的:
- 解决科学论文中的图像操纵问题.
- 在多个期刊中实现强大的图像检测解决方案.
主要方法:
- 采用人工智能 (AI) 的图像分析工具Proofig.
- 在科学家族的六个期刊中应用AI工具.
- 专注于检测操纵图像的实验技术.
主要成果:
- 科学杂志家族将在2024年实现图像分析的AI.
- 这一举措旨在积极识别已被修改的图像.
- 目的是提高发表的科学数据的可靠性.
结论:
- 像Proofig这样的人工智能工具对于保持科学完整性至关重要.
- 积极检测图像操纵对于公众对科学的信任至关重要.
- 采用先进技术是维护严格出版标准的关键.
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