通过建立跨学科关系,为满足生成式人工智能用户的信息需求奠定基础

IF 2.5 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Evan Fruehauf, Andrew Beman-Cavallaro, LeEtta Schmidt
{"title":"通过建立跨学科关系,为满足生成式人工智能用户的信息需求奠定基础","authors":"Evan Fruehauf,&nbsp;Andrew Beman-Cavallaro,&nbsp;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":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Developing a foundation for the informational needs of generative AI users through the means of established interdisciplinary relationships\",\"authors\":\"Evan Fruehauf,&nbsp;Andrew Beman-Cavallaro,&nbsp;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\":null,\"pages\":null},\"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}","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

摘要

生成式人工智能程序利用大型语言模型对简单的提示生成复杂的文本回复,这种程序的公开普及立即引起了大学教师的许多疑问和担忧。南佛罗里达大学(USF)的图书馆员集思广益,利用自己的技能、与全校教师和专业人员的现有关系提供信息,回答了这些教师就生成式人工智能在研究相关主题中的应用提出的常见问题。教师们最关心的问题是担心剽窃、如何指导学生使用新工具以及如何辨别人工智能工具生成的信息的可靠性。通过加强现有的教程和指导课程,并创建一个新的信息资源,图书馆能够及时建立一个基础,以支持未来的工作,满足使用生成式人工智能程序和工具的教师和学生不断变化的信息需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing a foundation for the informational needs of generative AI users through the means of established interdisciplinary relationships

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Academic Librarianship
Journal of Academic Librarianship INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
5.30
自引率
15.40%
发文量
120
审稿时长
29 days
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信