Springer Nature reveals AI-driven tool to ‘automate some editorial quality checks’

Springer added that 14 suitability assessment steps are currently sustained prior to a manuscript is sent out to assess, including data accessibility declarations, animal and human ethics, clinical tests and abuse hazards.

The AI tool is currently being evaluated and confirmed on greater than 100 open accessibility (OA) journals, consisting of Scientific Reports, which is the biggest OA journal on the planet, and across more than 100,000 submissions.

A brand-new AI-driven device to “automate a number of content high quality checks” has been established by Springer Nature to signal editors to “possibly improper manuscripts” to make sure that they can be held back from peer review. The AI tool has been established in-house and will certainly be integrated right into Springer Nature’s future generation write-up submission and handling system, Snapp. The latest tool complies with the inclusion in 2024 of two AI devices to identify phony material.

Principal publishing officer, Extreme Jegadeesan, said: “Posting relied on research is at the heart of what we do. As the volume of research study boosts, we are excited to see just how we can best make use of AI to support our writers, editors and peer customers, streamlining their means of functioning while maintaining high quality. By very carefully introducing new ways of checking documents to boost study honesty and support content decision-making we can help accelerate daily tasks for scientists, freeing them up to focus on what issues to them– carrying out research study.”

Springer clarified that the AI tool “sustains editors and peer customers by quickly dealing with manuscript high quality concerns”, and the aim of the device is to decrease the number of amendments required, while “maintaining the honesty of a premium posting process”. The outcomes collected by the tool will be verified by a human professional before a decision is made.