Librarians worldwide are exploring the integration of Large Language Models (LLM), generative AI, and machine learning to enhance bibliographic data and technical service workflows. Recent research conducted by several US and Hong Kong librarians includes a survey on AI's role in metadata, implementing chatbots for subject assignments, using OpenAI for MARC records creation, and integrating linked data with AI. Ethical considerations of AI in metadata creation will also be addressed. These efforts signify a transformative shift in librarianship, highlighting AI's potential and challenges in enhancing resource description and discovery.
Conference presentation
Leveraging AI for Workflow Enhancement in Technical Services: Case Studies from US and Hong Kong Libraries
Teaching and Learning with AI: A Sharing Conference Between Educational Practitioners (Orlando, Florida, 07/22/2024 - 07/23/2024)
07/23/2024
DOI:
https://doi.org/10.7273/000006595
Abstract
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Details
- Title
- Leveraging AI for Workflow Enhancement in Technical Services: Case Studies from US and Hong Kong Libraries
- Creators
- Sai DengJeanne Piascik - University of Central FloridaHo Chi Eric Chow - Hong Kong Baptist UniversityGreta Heng - San Diego State UniversityMingyan Li - University of Illinois ChicagoChen Suzhen - University of Hawaii at ManoaXiaoli Li - University of California, DavisLihong Zhu - Washington State University, LibrariesJing Jiang - California Digital Library
- Conference
- Teaching and Learning with AI: A Sharing Conference Between Educational Practitioners (Orlando, Florida, 07/22/2024 - 07/23/2024)
- Academic Unit
- Libraries
- Identifiers
- 99901129638801842
- Language
- English
- Resource Type
- Conference presentation