MORE 'NEW-RESEARCH' POSTS
Journal Article (preprint): “Chatbot Assessment: Best Practices for Artificial Intelligence in the Library”
| Academic Libraries, Libraries, News, Patrons and Users, Reports
The article (approved for publication, preprint) is scheduled to appear in portal: Libraries and the Academy (Volume 25, Number 4). Title Chatbot Assessment: Best Practices for Artificial Intelligence in the Library Authors Michelle Ehrenpreis Lehman College, CUNY John DeLooper Lehman College, CUNY Source portal: Libraries and the Academy Volume 25, Number 4) (preprint) Abstract In […]
The preprint shared below was recently posted on arXiv. Title AI and the Future of Academic Peer Review Authors Sebastian Porsdam Mann University of Copenhagen Mateo Aboy Joel Jiehao Seah Zhicheng Lin Xufei Luo Dan Rodger Hazem Zohny Timo Minssen Julian Savulescu Brian D. Earp Source via arXiv DOI: 10.48550/arXiv.2509.14189 Abstract Peer review remains the […]
Association of Research Libraries (ARL) Releases Salary Survey 2024 Reports Data
| Academic Libraries, Associations and Organizations, Data Files, Libraries, Management and Leadership, News, Reports
From ARL: The Association of Research Libraries (ARL) has published the ARL Annual Salary Survey 2024, which analyzes salary data for professional staff working in 123 of the 125 ARL member libraries during 2024. Data are reported for 11,256 professional staff from 118 university ARL libraries in Canada and the United States and for 2,040 professional […]
Preprint: “How Much are LLMs Changing the Language of Academic Papers After ChatGPT? A Multi-Database and Full Text Analysis”
| Associations and Organizations, Journal Articles, News, Open Access, Publishing
The research paper (preprint) linked below was recently shared on arXiv. Title How Much are LLMs Changing the Language of Academic Papers After ChatGPT? A Multi-Database and Full Text Analysis Authors Kayvan Kousha University of Wolverhampton Mike Thelwall University of Sheffield Source via arXiv DOI: 10.48550/arXiv.2509.09596 Abstract This study investigates how Large Language Models (LLMs) […]
Data and AI for Science: Key Considerations This paper examines the environmental implications of applying artificial intelligence (AI) in scientific research. It serves as a primer for scientists, research institutions and science policy-makers who seek to understand various approaches to addressing the environmental impact of AI in science. In addition, it offers guidance on how […]
From the CBC: A major report on modernizing the education system in Newfoundland and Labrador is peppered with fake sources some educators say were likely fabricated by generative artificial intelligence (AI). Released last month, the Education Accord NL final report, a 10-year roadmap for improving the province’s public schools and post-secondary institutions, includes at least 15 […]
The research article linked below (preprint) was recently posted on arXiv. Title The More You Automate, the Less You See: Hidden Pitfalls of AI Scientist Systems Authors Ziming Luo Carnegie Mellon University Atoosa Kasirzadeh Carnegie Mellon University Nihar B. Shah Carnegie Mellon University Source via arXiv DOI: 10.48550/arXiv.2509.08713 Abstract AI scientist systems, capable of autonomously […]
Report: AI Tool Detects LLM-Generated Text in Research Papers and Peer Reviews
| Companies (Publishers/Vendors), Journal Articles, News, Publishing, Reports
From Nature: An analysis of tens of thousands of research-paper submissions has shown a dramatic increase in the presence of text generated using artificial intelligence (AI) in the past few years, an academic publisher has found. The American Association for Cancer Research (AACR) found that 23% of abstracts in manuscripts and 5% of peer-review reports […]
The preprint linked below was recently shared on arXiv. Title Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents Authors Jiacheng Miao Stanford University Joe R. Davis Stanford University Jonathan K. Pritchard Stanford University James Zou Stanford University Source via arXiv DOI: 10.48550/arXiv.2509.06917 Abstract We introduce Paper2Agent, an automated framework that converts research papers […]
Journal Article: AI For Scientific Integrity: Detecting Ethical Breaches, Errors, and Misconduct in Manuscripts
| Data Files, Frontiers, News, Publishing, Reports
The article linked below was recently published by Frontiers in Artificial Intelligence. Title Journal Article: AI For Scientific Integrity: Detecting Ethical Breaches, Errors, and Misconduct in Manuscripts Authors Diogo Pellegrina University of Saskatchewan Mohamed Helmy University of Saskatchewan Idaho State University Agency for Science, Technology and Research (A*STAR), Singapore Source Frontiers in Artificial Intelligence Volume 8 […]
