Researcher Perspectives

STM has expressed support for Congressional efforts to legislate on AI transparency, with several bills proposed to require AI developers to disclose the use of copyrighted material. The TRAIN Act grants rightsholders the ability to petition courts to subpoena developers to release generative AI training data. The CLEAR Act would require generative AI developers to disclose, available via a…

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…

STM has endorsed an amicus curiae brief filed by the Copyright Alliance in the ongoing U.S. appeals case Thomson Reuters v. ROSS Intelligence. The case raises important questions about copyright protection for editorial content — including material similar in nature and function to content produced by STM’s members. The case also presents a set of facts under which the lower court rightly found ROSS’s…