Springer Nature donates its unique AI tool that identifies problematic text to publishing community

Following the successful rollout across its journals and books of its AI tool that detects cases of AI-generated nonsense text in research manuscripts, Springer Nature is now donating the tool to STM. It will be integrated into the STM Integrity Hub, an industry-wide initiative that supports publishers in ensuring the integrity of their published content, as part of its mission to develop and trial tools that publishers large and small can use to screen submissions for indicators of compromised content.

Chris Graf, Director of Research Integrity at Springer Nature and Chair of the STM Integrity Hub Governance Committee, commented:

“Developing this tool has been a major investment and a long-running project involving close collaboration between leading research integrity and AI teams. We are delighted we will now be able to share this technology with the wider publishing community so it can have an even bigger impact. The rise of AI has made it easier for unethical individuals to generate fake content and tools like this one which harness the power of AI and pattern recognition will be vital, particularly when they are powered by the extensive data that utilisation across the industry will deliver.”
more at: https://group.springernature.com/gp/group/media/press-releases/research-integrity-ai-tool-donation/27774818

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