This actually feels like an amazing step in the right direction.
If AI can help spot obvious errors in published papers, it can do it as part of the review process. And if it can do it as part of the review process, authors can run it on their own work before submitting. It could massively raise the quality level of a lot of papers.
What's important here is that it's part of a process involving experts themselves -- the authors, the peer reviewers. They can easily dismiss false positives, but especially get warnings about statistical mistakes or other aspects of the paper that aren't their primary area of expertise but can contain gotchas.
If AI can help spot obvious errors in published papers, it can do it as part of the review process. And if it can do it as part of the review process, authors can run it on their own work before submitting. It could massively raise the quality level of a lot of papers.
What's important here is that it's part of a process involving experts themselves -- the authors, the peer reviewers. They can easily dismiss false positives, but especially get warnings about statistical mistakes or other aspects of the paper that aren't their primary area of expertise but can contain gotchas.