Ethical AI and Librarianship

A Resource Guide

Artificial Intelligence and Librarianship: Notes for Teaching

Field Description
TitleArtificial Intelligence and Librarianship: Notes for Teaching
TypeBooks
CreatorMartin Fricke
Linkhttps://open.umn.edu/opentextbooks/textbooks/1479
Creation Date2024
Last Updated Date--
SummaryWith the rapid development of the Large Language Models (LLM) and AI tools like ChatGPT, the author recognizes the need to systematically teach and learn about the impact generative AI has on librarianship. This book was published as an open textbook for instructors and students in the Master of Library and Information Science (MLIS) programs. Librarians may find this book relevant for professional development as well. The book introduces LLM, ethical concerns in machine learning and librarianship, natural language processing and librarianship, and the opportunities AI brings to libraries. Currently in its 3rd edition, this book contains updated information. Additionally, its digital content is freely and openly available online in .pdf and .docx formats, under CC-BY 4.0 license.
TopicAI. Libraries. AI in libraries. Ethical AI. Large Language Models (LLM). Natural language processing (NLP)
Source and LinkOpen Textbook Library https://open.umn.edu/opentextbooks/
AccessOpen (CC-BY 4.0). Download ebook using the link above or find it in your library! Link to WorldCat to find ebook https://search.worldcat.org/title/1456590206
Accessibility--
AudienceScholars and Students. Librarians – General.
Platform or FormatPrint book. eBook. (.pdf. .docx)
Length533 pages
GeographyGeneral. USA.
Languageeng.
Description Date05/15/2025

Ethical AI and Librarianship: A Resource Guide