(10 Sep 2026) We have updated our author and editor guidelines on the responsible, appropriate, and transparent use of AI, including a policy outlining what AI use should be disclosed when preparing manuscripts for our journals. In a recent global survey of more than 2,600 researchers, nearly three-quarters (74%) of respondents revealed they were unclear what AI…
(7 Aug 2026) Around 60 subject specialists from Germany and Switzerland came together in Kiel to discuss the future of information provision for research in economics and business studies. From AI agent systems that carry out research independently and new ways of certifying reproducibility, to infrastructure for research data and the significance of consortia: this…
(11 Jun 2026) Universities are facing a pivotal moment as they adapt to rapid changes brought on by artificial intelligence. The Council of Ontario Universities (COU) AI Task Force recently released a report outlining what is needed to prepare students and researchers for the “age of AI,” emphasizing principles of trust, ethics, and accountability. The Ontario Council of University…
(27 May 2026) For most of the history of scholarly publishing, the definition of “end user” was stable enough that no one thought to question it. The user was a researcher, a student, a clinician, a librarian: a human being who navigated a platform, read content, and formed their own judgments. Everything downstream of that assumption,…
(21 May 2026) Much of the public conversation about AI in education centers on the risk that students will use it to avoid reading, outsource thinking or produce work detached from sources. Those concerns point to a related question: what changes when AI is designed to operate within scholarly content rather than around it? A…
(18 May 2026) arXiv has warned that authors who submit work containing clear evidence of unchecked large language model (LLM) output could face a one-year submission ban. The comments were made by Thomas Dietterich, current chair of the Computer Science Section of arXiv, in a series of posts on X – where he outlined the…
(6 May 2026) “AI isn’t just summarizing research; it is, in fact, selecting what needs to be shown in the overview. Publishers, journal editors, and peer reviewers are traditionally considered gatekeepers; they are the ones deciding what should be selected and what is worth reading. There have been so many panel discussions and articles written…
(6 May 2026) CCC (Copyright Clearance Center), a pioneer in voluntary collective licensing, announced that, as of July 1, 2026, its Annual Copyright License for Higher Education (ACLHE) will include internal-use AI reuse rights, expanding the license to address the growing use of AI across higher education in the United States. Copyrighted materials are the fuel for Artificial…
(6 May 2026) The session at Charleston Asia delivered by Dr. Chetan Sudhakar Sonowane on the topic titled “Assessing impact of Artificial Intelligence (AI) based tools on library services and scholarly publishing” tried to cover the potential of AI based tools and its application in libraries. Its usefulness in the library is being explored. AI tools…
(6 May 2026) Artificial intelligence (AI) tools designed to execute end-to-end projects, from coming up with hypotheses to running and writing up experiments, are increasingly popular with researchers—and increasingly skilled. But a new study shows these tools can stealthily violate norms of research integrity. Computer scientist Nihar Shah of Carnegie Mellon University and colleagues looked…