Journal Editors: How are you evaluating AI assisted papers? (mathoverflow.net)

Recent discussions among math journal editors have highlighted the challenges of evaluating papers that incorporate AI assistance. As AI tools become increasingly prevalent in research, editors are questioning the criteria used for assessing contribution and originality. Some papers appear to be primarily AI-generated, while others acknowledge AI's role in developing arguments, raising concerns about the transparency and integrity of authorship. This dialogue is significant for the AI/ML community as it reflects broader implications for the future of academic publishing. Editors are grappling with whether to evaluate the results solely on their merits or consider the nature and extent of the authors' contributions. This unpredictability complicates the peer review process, sparking debate over whether disclosures about AI usage can be trusted and how to maintain scholarly standards in a rapidly evolving landscape. The community is being urged to weigh in, suggesting that both authors and referees share their experiences to help clarify current practices and address the growing influence of AI in research outputs.