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 […]| Library Journal infoDOCKET
From The Wall Street Journal (via The Hindustan Times) Are men more likely than women to use generative artificial intelligence? The answer, according to a recent working paper, is yes. The authors looked at generative AI adoption globally and found a pronounced gap in men’s and women’s usage of AI, both professionally and in everyday life. […]| Library Journal infoDOCKET
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 […]| Library Journal infoDOCKET
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 […]| Library Journal infoDOCKET