Description
Book SynopsisIntroduces implications and applications of artificial intelligence in academic libraries and hopes to inspire new ways of engaging with the technology. As the discussion surrounding ethics, bias, and privacy in AI continues to grow, librarians will be called to make informed decisions and position themselves as leaders in this discourse.
Table of Contents
- Acknowledgements
Introduction
- Part I: User Services
Chapter 1. The 99 AI Challenge: Empowering a University Community through an Open Learning Pilot
Carey Toane, Lise Doucette, Paulina Rousseau, Michael Serafin, Michelle Spence, and Christina Kim
- Chapter 2. URI Libraries’ AI Lab—Evolving to Meet the Needs of Students and Research Communities
Harrison Dekker, Angelica G. Ferria, and Indrani Mandal
- Chapter 3. Artificial Intelligence, Machine Translation, and Academic Libraries: Improving Machine Translation Literacy on Campus
Lynne Bowker, Maria Kalsatos, Amy Ruskin, and Jairo Buitrago Ciro
- Chapter 4. Incubating AI: The Collaboratory at Ryerson University Library
Fangmin Wang, Aaron Tucker, and Jae Duk Seo
- Chapter 5. Separating Artificial Intelligence from Science Fiction: Creating an Academic Library Workshop Series on AI Literacy
Amanda Wheatley and Sandy Hervieux
- Chapter 6. Do Students Dream of Electric Cats (or Dogs)?: Using Robotics for a Unique Exam Week Activity in the Library
Jonathan Scherger, Juliana Espinosa, Autumn Edwards, Chad Edwards, Bryan Abendschein, and Patricia Vander Meer
- Part II: Collections and Discovery
Chapter 7. Subjectivity and Discoverability: An Exploration with Images
Catherine Nicole Coleman, Claudia Engel, and Hilary Thorsen
- Chapter 8. AI-Informed Approaches to Metadata Tagging for Improved Resource Discovery
Charlie Harper, Anne Kumer, Shelby Stuart, and Evan Meszaros
- Chapter 9. “We Could Program a ‘Bot’ to Do That!”: Robotic Process Automation in Metadata Curation and Scholarship Discoverability
Anna Milholland and Mike Maddalena
- Chapter 10. More Than Just Algorithms: A Machine Learning Club for Information Specialists
Mark Bell and Leontien Talboom
- Chapter 11. The Role of the Library When Computers Can Read: Critically Adopting Handwritten Text Recognition (HTR) Technologies to Support Research
Melissa Terras
- Chapter 12. Using IBM Watson for Discovery and Research Support: A Library-Industry Partnership at Auburn University
Aaron Trehub and Ali Krzton
- Part III: Toward Future Applications
Chapter 13. Ethical Implications of Implicit Bias in AI: Impact for Academic Libraries
Kim Paula Nayyer and Marcelo Rodriguez
Chapter 14. Machine Information Behaviour
Michael Ridley
Biographies
Index
