How do we strengthen trust in the scholarly record at a time of rapid technological change and increasing pressures on researchers? In an interview with Research Professional News, STM CEO Caroline Sutton discusses the need for a more constructive culture around research retractions. She urges for clearer distinctions between honest mistakes and “manipulative” behaviour. She…

STM has published “Toward Responsible Use of Research Content in Generative AI,” a discussion document putting forward considerations for the responsible use of research content in generative AI tools, and inviting the broader research and GenAI development community to engage. The document focuses on what makes research content and research communication distinct from other types…

Transparency about the use of generative Artificial Intelligence (AI) in research articles and other scholarly outputs is an important aspect of research integrity. At present, practices for  how  to disclose AI use vary widely across disciplines, regions, and publication cultures.  To address this issue, STM has released a report “Recommendations for a Classification of AI…

In an article on growing threats to research integrity, Times Higher Education covers STM’s report Safeguarding Scholarly Communication: Publisher Practices to Uphold Research Integrity. The article describes how publishers are increasingly focused on identifying integrity issues before publication—responding to paper mills, AI-enabled fabrication, and coordinated fraud networks—while scaling up research integrity teams and collaborating on…