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Springer Nature reveals AI-driven tool to 'automate some editorial quality checks'
A new AI-driven tool to "automate a number of editorial quality checks" has been developed by Springer Nature to alert editors to "potentially unsuitable manuscripts" so that they can be held back from peer review. The AI tool has been developed in-house and will be integrated into Springer Nature’s next generation article submission and processing platform, Snapp. The latest tool follows the inclusion in 2024 of two AI tools to identify fake content.
The AI tool is currently being tested and verified on more than 100 open access (OA) journals, including Scientific Reports, which is the largest OA journal in the world, and across more than 100,000 submissions.
Springer explained that the AI tool "supports editors and peer reviewers by quickly addressing manuscript quality issues", and the aim of the tool is to reduce the number of amendments needed, while "maintaining the integrity of a high-quality publishing process". The results gathered by the tool will be double-checked by a human expert before a final decision is made.
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Chief publishing officer, Harsh Jegadeesan, said: "Publishing trusted research is at the heart of what we do. As the volume of research increases, we are excited to see how we can best use AI to support our authors, editors and peer reviewers, simplifying their ways of working while upholding quality. By carefully introducing new ways of checking papers to enhance research integrity and support editorial decision-making we can help speed up everyday tasks for researchers, freeing them up to concentrate on what matters to them – conducting research."
Springer added that 14 suitability assessment steps are currently supported before a manuscript is sent out to review, including data availability statements, human and animal ethics, clinical trials and misuse threats.
