Byte-Sized Libraries: AI in Cataloging, Acquisitions, and Beyond
November 22, 2024
9:00a – 4:00p
Register for this virtual conference at https://notsl-byte-sized-libraries.eventbrite.com
Keynote with Terry Reese
Terry Reese is Head of Digital Initiatives and Digital Integrations at The Ohio State University Libraries. Terry has been at The Ohio State University since 2013 in a variety of roles focusing on digital initiatives and ways in which libraries build and maintain data integrations across various systems. His research primarily focuses on how metadata can be created, shared, and reused in libraries and beyond.
"The development and management of bibliographic data is always changing. With new tools centered in generative ai coming available, let's take a look at how some of these resources may impact metadata development long-term." Keywords: Metadata, AI, Potential
An overview of Generative AI experiments at Minnesota State University, Mankato (so far)… with Nat Gustafson-Sundell & Evan Rusch
Nat Gustafson-Sundell, Collections Librarian and Professor at Minnesota State University, Mankato. Previously, he was an Electronic Resources Librarian at Northwestern University. In his first career, he served as Treasurer (CFO) of a software company and Business Manager of a market research firm. At Mankato, Nat is a College of Business liaison, and he leads journal collection development, licensing, acquisitions, and collection analysis. He collaborates with a Collection Management Technology (CMT) team on collection analysis. They have reported their leading-edge work in presentations and publications. See https://libguides.mnsu.edu/collection-analysis/research for more information about the CMT team's work.
Evan Rusch, Reference Librarian, Minnesota State University, Mankato, is primarily a Reference and Instruction librarian who oversees two special collections, government documents and maps. I am an active contributor to our Library's collection analysis work, and this has been a focus of my research/scholarly contributions.
"At Minnesota State University, Mankato, we've undertaken several experiments and initiatives focused on Generative Artificial Intelligence. We provided several examples at the Generative AI in Libraries (GAIL) conference. We will present a revised and expanded overview of our experiments at the Northern Ohio Technical Services Librarians (NOTSL) Fall General Meeting. We will demonstrate how we've tested Gen AI to support licensing and to improve data visualization for collections outreach. We'll talk about how we've used Gen AI at the reference desk, for example, to improve search strategies and keywords. We'll talk about how we've approached teaching about Gen AI so far and some of the information literacy issues. Depending on the timing of various projects currently under way, we may also be able to provide some examples of how we've investigated Gen AI for data analysis."
AI and Cataloging: The Good, the Bad and the Ugly with Jeannette Mazur
Jeannette Mazur is an Electronic Services Content Analyst with the BakerHostetler library team. With over 15 years of experience in technology and more than 12 years of experience across various library settings including public, academic, and private. She earned her Master of Library and Information Science degree from Kent State University.
"This session explores the various facets of integrating Artificial Intelligence (AI) into cataloging, focusing on both the advantages and challenges. Key topics include AI Basics, creating MARC records with AI, and future AI improvements to the online public access catalog (OPAC). The potential pitfalls are also examined, such as the costs of acquiring and maintaining AI OPACs, the expertise required for implementation, and the ongoing need to manage hallucinations and biases."
Knowledge Access AI Study Group: A Space for Learning about AI and Assessing Its Impact on Metadata with Charlene Chou, Gioia Stevens, Yasha Razizadeh, and Zehong Liu
Charlene Chou Head of Knowledge Access New York University, Gioia Stevens, Librarian for Specialized Cataloging, Yasha Razizadeh, Metadata Librarian for Non-Latin Script Resources, Zehong Liu, Metadata Librarian for Science and Geospatial Data, Department of Knowledge Access, New York University, Division of Libraries
"The AI Study Group was established to demystify AI and understand its impact on the metadata operations through reading, testing and training. From December 2023 to June 2024, the group completed several tasks, including testing various AI tools to assess their performance in metadata creation for diverse types of resources, metadata remediation for spatial data repository, transliterating and translating non-Latin scripts, and conducting prompt engineering training. Based on these discussions and tests, the group continues to learn, test and evaluate AI tools for metadata operations in fall 2024. Our efforts include testing an automated workflow to create brief bibliographic records and using NLP/machine learning tools to generate quality datasets. Emphasis is placed on ethical metadata practices and mitigating AI-related harms. This presentation includes three brief demos, showcasing the lightning talks from the AI Study Group meetings."
Where are you at with AI? A round table discussion with NOTSL
Join us for an interactive roundtable discussion about how AI has been talked about or approached at your institution. This discussion is based on the ALA Core's Artificial Intelligence and Machine Learning (AI & ML) Interest Group's Virtual IG Week talk led by Peter Musser. Attendees will come away with some resources about AI broadly within the context of libraries.
Bring us your ideas. We want to hear from you. What topics are you interested in? Is there anything we covered in the past that might need revisited? We welcome your thoughts and ideas for future programming!
