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@academicchatter
I think that using AI to catch actual errors in articles (such as numbers wrong by a factor etc) might be a good idea, but should perhaps already be done either by the researchers themselves, or at least at the preprint level as a service of the aXives . This would avoid doing so after publication. And also I think that AI can be wrong, so this should always be human verified by specialists, such as the reviewers.
nature.com/articles/d41586-025…
Opinions ?
#openscience
I think that using AI to catch actual errors in articles (such as numbers wrong by a factor etc) might be a good idea, but should perhaps already be done either by the researchers themselves, or at least at the preprint level as a service of the aXives . This would avoid doing so after publication. And also I think that AI can be wrong, so this should always be human verified by specialists, such as the reviewers.
nature.com/articles/d41586-025…
Opinions ?
#openscience
AI tools are spotting errors in research papers: inside a growing movement
Study that hyped the toxicity of black plastic utensils inspires projects that use large language models to check papers.Gibney, Elizabeth
