Nursing Academic Reviewers’ Perspectives on AI‐Assisted Peer Review: Ethical Challenges and Acceptance
To uphold scholarly integrity, nursing journals and academic institutions should develop transparent AI governance frameworks, invest in reviewer education on responsible AI use, and preserve the central role of human judgment in peer review. These steps are vital to ensuring AI complements rather than compromises research quality and ethics in global nursing scholarship.
Authors
- Mostafa Shaban (ORCID: https://orcid.org/0000-0001-7822-1653)
- Sayed Ibrahim Ali (ORCID: https://orcid.org/0000-0002-8808-6296)
Institutions
- Cairo University (EG)
- King Faisal University (SA)
Publication Details
- Journal
- International Nursing Review
- Published
- 2025-08-20
- DOI
- https://doi.org/10.1111/inr.70100
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31
Funders
- King Faisal University