Ethical AI and Librarianship
A Resource Guide
Artificial Intelligence and Librarianship: Notes for Teaching
Field
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Description |
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Title | Artificial Intelligence and Librarianship: Notes for Teaching |
Type | Books |
Creator | Martin Fricke |
Link | https://open.umn.edu/opentextbooks/textbooks/1479 |
Creation Date | 2024 |
Last Updated Date | -- |
Summary | With 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. |
Topic | AI. Libraries. AI in libraries. Ethical AI. Large Language Models (LLM). Natural language processing (NLP) |
Source and Link | Open Textbook Library https://open.umn.edu/opentextbooks/ |
Access | Open (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 | -- |
Audience | Scholars and Students. Librarians – General. |
Platform or Format | Print book. eBook. (.pdf. .docx) |
Length | 533 pages |
Geography | General. USA. |
Language | eng. |
Description Date | 05/15/2025 |