Artificial Intelligence and Librarianship: Notes for Teaching
Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all...
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Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 95,000 words on the topic, with a 3-400 item bibliography.
Contents:
Chapter 0: Some Theoretical Background to Librarianship
Chapter 1: Intellectual Background
Chapter 2: Chatbots
Chapter 3: Language Models
Chapter 4: Large Language Models
Chapter 5: Bias
Chapter 6: Bias in Machine Learning and Librarianship
Chapter 7: What Might Natural Language Processing (NLP) Bring to Librarianship?
Chapter 8: What are the Opportunities for Librarians?
Chapter 9: Librarians as Synergists
Chapter 10: Librarians as Sentries
Chapter 11: Librarians as Educators
Chapter 12: Librarians as Managers
Chapter 13: Librarians as Astronauts
Appendix A: Working With LLMs
Appendix B: Two Important Methodological Points
Appendix C: Causal Diagrams
Bibliography
- Format:ebook
- Pages:510 pages
- Publication:2024
- Publisher:SoftOption
- Edition:Second Edition
- Language:eng
- ISBN10:0473686821
- ISBN13:9780473686826
- kindle Asin:0473686821









