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…

A new framework aimed at strengthening research integrity in scholarly publishing is being released today for community consultation. The Researcher Identity Verification Framework proposes proportionate and inclusive measures to verify researcher identities, helping to combat fraud, reduce paper mill activity, and protect the integrity of the academic record. For centuries, academic publishing has operated on…

Research paper mills — covert organizations that produce fraudulent manuscripts for profit — pose a significant threat to science and scholarship. These unethical entities scale their operations using AI, sell authorship positions, and manipulate peer review, eroding trust in research and slowing progress in critical areas such as innovation, healthcare, and policy.  United2Act — a…