What does this research mean for the field?

Editors perceive that integrating generative artificial intelligence into academic writing and editorial workflows can enhance processes but raises concerns about scientific integrity and accountability. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The study aims to explore how editors view the integration of generative AI in academic writing and the challenges it presents.

March 7, 2026Journal of Korean Medical AssociationOpen Access

How editors perceive the use of generative artificial intelligence in writing academic papers: a narrative review

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The study aims to explore how editors view the integration of generative AI in academic writing and the challenges it presents.
Conducted a narrative review focusing on editor perceptions regarding AI in academic contexts.
Assessed 100 Korean medical journals for their AI use policies from January to March 2024.
Reviewed top-ranked medical journals for approaches to AI disclosure and its use in peer review.
Only 18 out of 100 journals provided explicit guidelines on AI use.
Most journals with policies prohibit listing AI as an author, emphasizing author accountability.
AI-detection tools are unreliable, leading to mixed editorial approaches regarding disclosure.

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Implication

This narrative review examines editor perspectives on AI integration in academic writing, highlighting current challenges and practices.

Cite This Study

Sun Huh (2026) studied this question.

synapsesocial.com/papers/69abc0925af8044f7a4e9368 https://doi.org/10.5124/jkma.26.0008

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How editors perceive the use of generative artificial intelligence in writing academic papers: a narrative review

Key Points

Discussion

Implication

Cite This Study

How editors perceive the use of generative artificial intelligence in writing academic papers: a narrative review

Key Points

Discussion

Implication

Cite This Study

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