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The Dark Side of Artificial Intelligence: The Possible Risk of Falsifying Images for Scientific Articles.

Authors :
Zecca PA
Marcella R
Andrea B
Marina P
Marina B
Mario R
Source :
Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada [Microsc Microanal] 2023 Sep 29; Vol. 29 (5), pp. 1688-1693.
Publication Year :
2023

Abstract

This article explores the potential risks associated with using artificial intelligence (AI)-generated images in the field of microscopy. It discusses the current state-of-the-art AI-based image-generation techniques and their limitations. It investigates the potential risks associated with the illegal use of AI-generated images, including their use in creating falsified scientific data and the consequences of such misuse. The article concludes by exploring possible solutions to mitigate these risks, such as implementing robust authentication methods and developing ethical guidelines for using and disseminating AI-generated images in the field of microscopy. Additionally, the article also presents the results of a survey involving 101 professionals, showing that the recognition of authentic and entirely AI-generated images is performed well. But, the detection of hybrid images could be improved.<br />Competing Interests: Conflict of Interest The authors declare that they have no competing interest.<br /> (© The Author(s) 2023. Published by Oxford University Press on behalf of the Microscopy Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Details

Language :
English
ISSN :
1435-8115
Volume :
29
Issue :
5
Database :
MEDLINE
Journal :
Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada
Publication Type :
Academic Journal
Accession number :
37632734
Full Text :
https://doi.org/10.1093/micmic/ozad093