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

artificial intelligence ethical guidelines illegal use image analysis image generation microscopy

Journal

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada
ISSN: 1435-8115
Titre abrégé: Microsc Microanal
Pays: England
ID NLM: 9712707

Informations de publication

Date de publication:
29 Sep 2023
Historique:
received: 15 02 2023
accepted: 06 08 2023
revised: 19 07 2023
pubmed: 27 8 2023
medline: 27 8 2023
entrez: 26 8 2023
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 37632734
pii: 7252194
doi: 10.1093/micmic/ozad093
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1688-1693

Informations de copyright

© 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.

Déclaration de conflit d'intérêts

Conflict of Interest The authors declare that they have no competing interest.

Auteurs

Piero Antonio Zecca (PA)

Department of Medicine and Technological Innovation, via Guicciardini 9, Varese 21100, Italy.

Reguzzoni Marcella (R)

Department of Medicine and Technological Innovation, via Guicciardini 9, Varese 21100, Italy.

Brambilla Andrea (B)

Department of Medicine and Technological Innovation, via Guicciardini 9, Varese 21100, Italy.

Protasoni Marina (P)

Department of Medicine and Technological Innovation, via Guicciardini 9, Varese 21100, Italy.

Borgese Marina (B)

Department of Medicine and Technological Innovation, via Guicciardini 9, Varese 21100, Italy.

Raspanti Mario (R)

Department of Medicine and Technological Innovation, via Guicciardini 9, Varese 21100, Italy.

Classifications MeSH