| Contents |
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 -- URI Libraries' AI Lab : evolving to meet the needs of students and research communities / Harrison Dekker, Angelica G. Ferria, and Indrani Mandal -- Artificial intelligence, machine translation, and academic libraries : improving machine translation literacy on campus / Lynne Bowker, Maria Kalsatos, Amy Ruskin, and Jairo Buitrago Ciro -- Incubating AI : the Collaboratory at Ryerson University Library / Fangmin Wang, Aaron Tucker, and Jae Duk Seo -- Separating artificial intelligence from science fiction : creating an academic library workshop series on AI literacy / Amanda Wheatley and Sandy Hervieux -- 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 -- Subjectivity and discoverability : an exploration with images / Catherine Nicole Coleman, Claudia Engel, and Hilary Thorsen -- AI-informed approaches to metadata tagging for improved resource discovery / Charlie Harper, Anne Kumer, Shelby Stuart, and Evan Meszaros -- "We could program a 'bot' to do that!" : robotic process automation in metadata curation and scholarship discoverability / Anna Milholland and Mike Maddalena -- More than just algorithms : a machine learning club for information specialists / Mark Bell and Leontien Talboom -- The role of the library when computers can read : critically adopting handwritten text recognition (HTR) technologies to support research / Melissa Terras -- Using IBM Watson for discovery and research support : a library-industry partnership at Auburn University / Aaron Trehub and Ali Krzton -- Ethical implications of implicit bias in AI : impact for academic libraries / Kim Paula Nayyer and Marcelo Rodriguez -- Machine information behaviour / Michael Ridley. |
| Abstract |
"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; and 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"-- Provided by publisher. |
