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This work aims to highlight the threats posed by AI-generated images to scientific integrity and the challenges in detecting such misconduct.

July 1, 2022PatternsOpen Access

AI-enabled image fraud in scientific publications

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This work aims to highlight the threats posed by AI-generated images to scientific integrity and the challenges in detecting such misconduct.
Demonstrated potential of AI models in creating fake images within scientific publications.
Analyzed methods of duplicating and fabricating images using generative models.
Explored limitations of current detection techniques, including visual inspection and forensic tools.
AI models can generate realistic fake images that are difficult to detect.
Existing image-forensic and detection tools fail to reliably identify AI-generated images.
The scientific community must remain vigilant against image integrity issues as AI technology progresses.

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Perspective reveals risks of AI-generated images in academia, highlighting the challenge of image integrity.

Gu et al. (2022) studied this question.

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