Ethical Challenges in AI-Assisted Scholarly Publishing

The integration of AI into academic publishing introduces complex ethical dilemmas. From generating content to evaluating submissions, AI tools must be used transparently and responsibly to uphold scientific integrity [1].  

AI tools have transformed traditional publishing workflows, providing support in numerous areas [1] (Table 1) [2].  

Transparency in AI Use  

• Authors must disclose the use of AI tools, detailing their application in manuscript preparation or data analysis [1].  
• Journals should require authors to identify where AI-generated content appears [7].  

Accountability and Authorship  

• AI cannot be listed as an author; the responsibility lies solely with human authors [2].  
• Authors must verify the accuracy of all AI-generated material to prevent misrepresentation or plagiarism.  

Bias and Inaccuracy  

• AI algorithms may produce biased or inaccurate outputs, risking the credibility of scholarly work [3].  

Organizations such as COPE, ICMJE, and CSE emphasize the importance of transparency, accountability, and ethical use of AI in scholarly publishing [1]. Their recommendations include:  

• Prohibiting AI from being listed as an author [4].  

• Mandating clear disclosure of AI usage in manuscripts [5].  

• Ensuring editors and reviewers have access to AI detection tools [8].  

To protect the integrity of scientific publishing, researchers, editors, and journals would have to take on ethical guidelines and policies for the usage of AI, so it becomes a helpful tool rather than a liability.