Alternative Title
Leveraging Artificial Intelligence (AI) for Workflow Enhancement in Technical Services: Case Studies from US and Hong Kong Libraries
Contributor
University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2024 : Orlando, Fla.)
Location
Sawgrass
Start Date
23-7-2024 10:15 AM
End Date
23-7-2024 10:45 AM
Publisher
University of Central Florida Libraries
Keywords:
Workflow enhancement; Metadata integration; Generative AI; Technical services; Ethical considerations
Subjects
Artificial intelligence--Library applications; Artificial intelligence--Information services; International librarianship--Technological innovations; Technical services (Libraries)--Automation; Library science--Technological innovations
Description
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.
Language
eng
Type
Presentation
Format
application/pdf
Creator (Linked Data)
Rights Statement
All Rights Reserved
Audience
Librarians, Faculty
Recommended Citation
Deng, Sai; Piascik, Jeanne; Chow, Eric H. C.; and Heng, Greta, "Leveraging AI for Workflow Enhancement in Technical Services: Case Studies from US and Hong Kong Libraries" (2024). Teaching and Learning with AI Conference Presentations. 40.
https://stars.library.ucf.edu/teachwithai/2024/tuesday/40
Leveraging AI for Workflow Enhancement in Technical Services: Case Studies from US and Hong Kong Libraries
Sawgrass
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.