A new interpretation of the FAIR acronym, focusing on Fairness, Accountability, Integrity, and Responsibility, has emerged in scholarly communication. This revised FAIR framework is being applied to an ethically-guided hybrid peer-review system that integrates both artificial intelligence and human expertise. The initiative aims to enhance the integrity and ethical considerations within the peer-review process. AI
IMPACT Introduces a new ethical framework for AI integration in scholarly peer review, potentially influencing future AI applications in academic publishing.
RANK_REASON The cluster discusses a new interpretation of an acronym and its application in a peer-review system, which is commentary on existing frameworks and emerging practices.
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- AI
- FAIR
- Fairness, Accountability, Integrity, and Responsibility
- Findability, Accessibility, Interoperability, and Reusability
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