The FAIR framework: ethical hybrid peer review

The FAIR Framework offers a principled solution to peer review inefficiencies by combining AI-enabled consistency and speed with essential human expertise. This hybrid approach reduces review delays, eliminates systematic bias, and enhances transparency while maintaining confidentiality and editorial control. Implementation could significantly reduce the estimated 100 million hours of global reviewer time annually while improving review quality and equity across diverse research communities.