AI peer reviewers smoothen the publishing grind

Peer review by artificial intelligence (AI) is promising to improve the process, enhance the quality of published papers — and save reviewers time. A handful of academic publishers are driving AI tools to do anything from selecting reviewers to checking statistics and summarizing a paper’s findings. In June, software called StatReviewer adopted by Aries Systems verifies the statistics and methods used in the manuscripts. ScholarOne, another peer-review platform is teaming up with UNSILO of Aarhus, Denmark, which uses natural language processing and machine learning to analyze manuscripts. UNSILO automatically pulls out key concepts to summarize what the paper is about. These tools can make sure a manuscript is up to scratch, but in no way are they replacing what a reviewer would do in terms of evaluation.

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