A timely interview with our own Hylke Koers in Retraction Watch highlights STM’s work on strengthening research integrity in scholarly publishing. With fraud and paper mills exploiting gaps in editorial systems, STM has developed a Researcher Identity Verification Framework—a flexible, inclusive approach to help journals and institutions verify researcher identities more reliably. Originally released in…
A new Nature Magazine survey of 5,000+ researchers shows there’s no clear consensus on how and when generative AI should be used in writing and reviewing scholarly papers — or how that use should be disclosed. To help bring clarity, STM has released a draft report: Classifying AI Use in Manuscript Preparation — that offers…
STM is proud to welcome the integration of a proprietary AI tool donated by Springer Nature into the STM Integrity Hub. Originally developed to identify AI-generated nonsense text in research manuscripts, this tool has been successfully used across Springer Nature’s journals and books. Its donation marks a significant step forward in collective efforts to uphold…
STM has released a new draft report, Recommendations for a Classification of AI Use in Academic Manuscript Preparation, developed by the STM Association’s Task & Finish Group on AI Labelling Terminology. This draft is now open for community consultation. While publishers have long offered guidance on disclosing human assistance—such as language editing—recent advances in generative…