Leveraging AI for Workflow Enhancement in Technical Services: Case Studies from US and Hong Kong Libraries
Location
Sawgrass
Start Date
23-7-2024 10:15 AM
End Date
23-7-2024 10:40 AM
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.
Recommended Citation
Deng, Sai; Piascik, Jeanne; Chow, Eric H. C.; and Xu, Amanda, "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.