Springer Nature has introduced a cutting-edge AI tool designed to assist editors and peer reviewers by automating editorial quality checks and identifying potentially unsuitable manuscripts. The tool aims to streamline the publication process while upholding the highest standards of research integrity and ethics.
Developed in-house, the AI tool integrates seamlessly into Springer Nature’s next-generation article submission and processing platform, Snapp. Following the 2024 launch of AI tools to detect fake content, this latest innovation focuses on manuscript quality and compliance checks.
Currently being tested on over 100 open-access (OA) journals, including Scientific Reports, the world’s largest OA journal, the tool has already been applied to more than 100,000 submissions.
The AI tool performs 14 suitability assessments before a manuscript is sent for peer review, including:
• Verifying data availability statements
• Checking compliance with human and animal ethics guidelines
• Ensuring clinical trial transparency
• Detecting potential misuse threats
These automated checks allow editors to identify and hold back manuscripts with quality or compliance issues early in the process, reducing amendments and saving time for authors and reviewers.
While the AI tool enhances efficiency, human experts retain the final say. Each flagged manuscript undergoes additional review by editors before decisions are made, maintaining a rigorous and ethical publishing process.
This tool reflects Springer Nature’s continued investment in emerging technologies to improve the publishing experience. All innovations are developed in line with the publisher's AI principles, ensuring ethical, transparent, and effective use of technology in research dissemination.
As Springer Nature continues to test and refine this technology, the publishing community can expect further advancements aimed at reducing workload and improving the overall quality of scholarly communication.
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