Evan Fruehauf, Andrew Beman-Cavallaro, LeEtta Schmidt
{"title":"Developing a foundation for the informational needs of generative AI users through the means of established interdisciplinary relationships","authors":"Evan Fruehauf, Andrew Beman-Cavallaro, LeEtta Schmidt","doi":"10.1016/j.acalib.2024.102876","DOIUrl":null,"url":null,"abstract":"<div><p>University faculty immediately had many questions and concerns in response to the public proliferation of generative artificial intelligence programs leveraging large language models to generate complex text responses to simple prompts. Librarians at the University of South Florida (USF) pooled their skills, existing relationships with faculty and professional staff across campus to provide information that answered common questions raised by those faculty on generative artificial intelligence usage within research related topics. Faculty concern regarding the worry of plagiarism, how to instruct students to use the new tools and how to discern the reliability of information generated by artificial intelligence tools were placed at the forefront. By augmenting existing tutorials and instruction sessions, and creating a new information resource, the library was able to build a timely foundation to support future efforts to address the changing information needs of faculty and students using generative artificial intelligence programs and tools.</p></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"50 3","pages":"Article 102876"},"PeriodicalIF":2.5000,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Academic Librarianship","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0099133324000375","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
University faculty immediately had many questions and concerns in response to the public proliferation of generative artificial intelligence programs leveraging large language models to generate complex text responses to simple prompts. Librarians at the University of South Florida (USF) pooled their skills, existing relationships with faculty and professional staff across campus to provide information that answered common questions raised by those faculty on generative artificial intelligence usage within research related topics. Faculty concern regarding the worry of plagiarism, how to instruct students to use the new tools and how to discern the reliability of information generated by artificial intelligence tools were placed at the forefront. By augmenting existing tutorials and instruction sessions, and creating a new information resource, the library was able to build a timely foundation to support future efforts to address the changing information needs of faculty and students using generative artificial intelligence programs and tools.
期刊介绍:
The Journal of Academic Librarianship, an international and refereed journal, publishes articles that focus on problems and issues germane to college and university libraries. JAL provides a forum for authors to present research findings and, where applicable, their practical applications and significance; analyze policies, practices, issues, and trends; speculate about the future of academic librarianship; present analytical bibliographic essays and philosophical treatises. JAL also brings to the attention of its readers information about hundreds of new and recently published books in library and information science, management, scholarly communication, and higher education. JAL, in addition, covers management and discipline-based software and information policy developments.