Research Integrity Enhancement: Integration of Post-Publication Peer Review to Alleviate Artificial Intelligence-Generated Research Misconduct.

This article discusses the integration of post-publication peer review (PPPR) as a strategy to address research misconduct arising from artificial intelligence (AI). The use of AI in scientific research has revolutionized the field, but it also presents ethical concerns such as algorithmic bias, data bias, and privacy issues. PPPR, which involves reviewing journal articles after they have been published, offers an iterative feedback process that enhances the honesty and integrity of research. By combining PPPR with AI-generated research, the quality, transparency, and accountability of academic papers can be improved, reducing the likelihood of misconduct and fostering community collaboration. [Extracted from the article]