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Using Machine-Learning Systems to Improve Collections Development and Services

Home / Topics / Access & Equity / Using Machine-Learning Systems to Improve Collections Development and Services

May 15, 2024

Boaz Nadav Manes, University Librarian, Lehigh University
Todd Carpenter, Executive Director, National Information Standards Organization
Carolyn Morris, Vice President of Ingram Library Services, Ingram
Filip Jakobsen, CEO & Founder, Samhæng
Sebastian Hammer, President, Index Data

Leading members of the Institute of Museum and Library Services-funded Collaborative Collections Lifecycle Project (CCLP) led by the National Information Standards Organization (NISO), Lehigh University, and Partnership for Academic Library Collaboration & Innovation (PALCI), have explored possible future applications of generative artificial intelligence (AI), specifically large language models (LLMs), to optimize library workflows and research related to collection development and management in an innovative network-first infrastructure. Envisioned are applications that use LLMs to apply expansive and multi-lingual vocabularies to improve metadata and item processing and identify items for inclusion in approval plans or acquisitions processes. Other machine learning applications could be used for analyzing behavioral data or to provide prospective recommendations in discovery of content. These capabilities may allow library and other scholarly communication actors to work together, share data and information in a secure and privacy-protective way, and define best practices for safe and ethical applications of these technologies and to further library values of equitable access to information. The panel will share ideas for concrete tools and experiments to stimulate reflection and debate about a potential role of AI and LLMs in the future of library technology, and we will consider both specific applications to improve the quality and use of publishing and library collection lifecycle management.

https://sites.google.com/view/cclifecycleproject/home
https://www.niso.org/standards-committees/cclip

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Filed Under: Access & Equity, Digital Curation, Digital Libraries, E-Journals, Ebooks, Economic Models, Emerging Technologies, May 2024 Pre-Recorded Project Briefing Series, Metadata, Pre-Recorded Project Briefing Pages, Publishing, Scholarly Communication, Standards
Tagged With: Videos

Last updated:  Wednesday, May 29th, 2024

 

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