Artificial Intelligence for Academic Libraries
eBook - ePub

Artificial Intelligence for Academic Libraries

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Artificial Intelligence for Academic Libraries

About this book

Artificial Intelligence for Academic Libraries provides a clear and dependable guide to the history, theory, and application of artificial intelligence (AI) and machine learning (ML) in academic libraries, addressing the needs of librarians, staff, administrators, and other stakeholders.

Emerging from a long-running conversation between an academic librarian and a professor of computer science, this book provides readers with a critical perspective on the history, present, and future of AI in libraries and information services. Synthesizing the literature on AI, ML, and librarianship, the authors provide the requisite background to evaluate the impact of these technologies on the information ecosystem. The first half of the volume covers the fundamentals of AI, notably the divergences between the two major AI paradigms as well as philosophical, legal, and ethical issues that arise from the use of AI. The second half addresses specialized topics, including hybrid AIs that bridge the dominant AI paradigms, the responsible use of AI in research and learning, and suggestions for professional development.

Artificial Intelligence for Academic Libraries will benefit academic librarians seeking to develop a solid understanding of AI and ML and their likely impact on library operations and services, including student and faculty outreach. The volume also serves as a pedagogical resource for library and information science students entering this rapidly changing field.

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Yes, you can access Artificial Intelligence for Academic Libraries by Clifford B. Anderson,Douglas H. Fisher in PDF and/or ePUB format, as well as other popular books in Languages & Linguistics & Library & Information Science. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication
  7. Contents
  8. Preface
  9. Acknowledgements
  10. 1 Introduction
  11. 2 Milestones in Deliberative AI Development
  12. 3 The Rise of Connectionist AI
  13. 4 Philosophies of Artificial Intelligence
  14. 5 Ethical and Societal Considerations
  15. 6 Intellectual Property Rights and Obligations
  16. 7 Hybrid AIs
  17. 8 Robust Conversational AI
  18. 9 Professional Development
  19. 10 Looking Forward
  20. Bibliography
  21. Index