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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