Leveraging AI for Workflow Enhancement in Technical Services: Case Studies from US and Hong Kong Libraries

Leveraging AI for Workflow Enhancement in Technical Services: Case Studies from US and Hong Kong Libraries

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.

Deng, Sai

Piascik, Jeanne

Chow, Eric H. C.

Heng, Greta

Li, Mingyan

Chen, Suzhen

Li, Xiaoli

Zhu, Lihong

Jiang, Jing

2024-07-23

application/pdf; application/vnd.openxmlformats-officedocument.presentationml.presentation

eng

Presentation; Text

Deng, S., Piascik, J., Chow, E. H. C., Heng, G., Li, M. Y., Chen, S.Z., Li, X. L., Zhu, L. H. & Jiang, J. (2024). Leveraging AI for workflow enhancement in Technical Services: Case studies from US and Hong Kong libraries. Teaching & Learning with AI Conference, Orlando, Florida. July 23, 2024.