Artificial Intelligence for Academic Libraries provides a clear and reliable 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-standing conversation between an academic librarian and a computer science professor, this book offers readers a critical perspective on the history, present, and future of AI in libraries and information services. By synthesizing the literature on AI, ML, and librarianship, the authors provide the necessary background to evaluate the impact of these technologies on the information ecosystem.

The first half of the book covers the fundamentals of AI, including the differences between the two main AI paradigms as well as philosophical, legal,, and ethical issues that arise from using AI. The second half discusses specialized topics, including hybrid AIs that combine the main AI paradigms, the responsible use of AI in research and learning, and recommendations 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 outreach to students and faculty. The book also serves as an educational resource for library and information science students entering this rapidly evolving field.

Pages: 220, Dimensions: 15.6x15.6cm