The FAIR framework: ethical hybrid peer review

Traditional peer review faces critical challenges including systematic bias, prolonged delays, reviewer fatigue, and lack of transparency. These failures violate ethical obligations of beneficence, justice, and autonomy while hindering scientific progress and costing billions annually in academic la...

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Bibliographic Details
Published in:Journal of Perinatal Medicine
Main Authors: Grünebaum Amos, Dudenhausen Joachim, Chervenak Frank A.
Format: Article
Language:English
Published: De Gruyter 2025-10-01
Subjects:
peer review
artificial intelligence
research ethics
scientific publishing
hybrid systems
medical publishing
Online Access:https://doi.org/10.1515/jpm-2025-0285
Description
Summary:Traditional peer review faces critical challenges including systematic bias, prolonged delays, reviewer fatigue, and lack of transparency. These failures violate ethical obligations of beneficence, justice, and autonomy while hindering scientific progress and costing billions annually in academic labor. To propose an ethically-guided hybrid peer review system that integrates generative artificial intelligence with human expertise while addressing fundamental shortcomings of current review processes.
ISSN:0300-5577
1619-3997

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