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The blurred lines of plagiarism and ai authorship in scientific publishing
Nematullah Shomoossi1 , Kamyab Alizadeh *2
1- Department of Applied Linguistics, Sabzevar University of Medical Sciences, Sabzevar, Iran
2- English Language Department, Iran University of Medical Sciences, Tehran, Iran , Kamyab_Alizadeh@yahoo.com
Abstract:   (22 Views)
The rapid integration of artificial intelligence into scientific publishing has blurred the lines of authorship and plagiarism, challenging traditional definitions of intellectual integrity. As AI tools increasingly generate or paraphrase content, conventional detection mechanisms are becoming inadequate, necessitating a paradigm shift in how misconduct is identified. This letter examines the ethical complexities of AI-generated text and argues that preserving scientific integrity requires updated authorship guidelines, robust detection strategies, and a mandatory culture of transparency regarding AI use.
 
Keywords: plagiarism, intelligent system, authorship
     
Article Type : Editorial | Subject: Medical Sciences
Received: 2025/11/9 | Accepted: 2026/01/26
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.