Librarians are uniquely positioned to rise to the challenge that artificial intelligence (AI) presents to the field. Libraries and their like have existed for millennia; they progress with society, altering and adapting their services to meet the information needs of their communities.
The Rise of AI collects projects, collaborations, and future uses from academic librarians who have begun to embrace AI in their work. In three parts—User Services, Collections and Discovery, and Toward Future Applications—it explores:
- machine translation
- creating incubation spaces
- robotics
- combining information literacy initiatives with AI literacy
- fostering partnerships with other on-campus groups
- integrating AI technology into collections to enhance discoverability
- using AI to refine metadata for images, articles, and theses
- machine learning
The Rise of AI introduces implications and applications of artificial intelligence in academic libraries and hopes to provoke conversations and 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.
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 LabEvolving 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
