Summary:
- This article discusses the potential for AI systems to introduce bias and prejudice into the peer review process for scientific publications.
- The author explains how AI models trained on existing scientific literature may perpetuate and amplify biases present in the current system, leading to unfair treatment of certain researchers or research topics.
- The article highlights the importance of carefully designing and monitoring AI-assisted peer review systems to ensure they promote fairness, diversity, and the advancement of scientific knowledge.