AI is rapidly impacting the landscape of scientific publishing, presenting both groundbreaking opportunities and significant challenges. This discussion seeks to explore the potential of AI to transform the traditional peer review process, a cornerstone of academic integrity and scientific progress.
With recent incidents involving AI-generated content that failed to contribute meaningful information and raised concerns about this approach being some sort of "sophisticated plagiarism", the scientific community seems to be largely skeptical and affraid of the AI-related technologies when it comes to writing for publishing.
Publishers clearly are affraid of it, as we saw in this declaration by Elsevier https://www.elsevier.com/en-in/about/policies-and-standards/the-use-of-generative-ai-and-ai-assisted-technologies-in-writing-for-elsevier
On the other hand, there are clear positive outcomes (in my view), that I want to discuss
1) writing with the aid of AI can significantly improve the quality of description and level the playing field for non-English speakers
2) writing and formating papers can be quickly be done with AI, without compromising content
3) we can use AI to simulate reviewers, and eventually to help answer questions based on the same data that is available in the paper
Do you have other ideas on how we can leverage AI to enhance the efficiency and effectiveness of peer reviews while safeguarding against the risks of misinformation and unethical practices?
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