Self-correction is fundamental to science. One of its most important forms is peer review, when anonymous experts scrutinize research before it is published. This helps safeguard the accuracy of the written record.
Yet problems slip through. A range of grassroots and institutional initiatives work to identify problematic papers, strengthen the peer-review process, and clean up the scientific record through retractions or journal closures. But these efforts are imperfect and resource intensive.
Soon, artificial intelligence (AI) will be able to supercharge these efforts. What might that mean for public trust in science?
Peer review isn’t catching everything
In recent…
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