Generative AI-ChatGPT’s Impact in Health Science Libraries
Year: 2024
Type: conference-paper
Abstract: This study explores the integration of ChatGPT into library services, as well as the perceived benefits and challenges associated with its utilization. Through qualitative research methods, including semi-structured interviews with eleven health science librarians, insights were gained. The findings highlighted the challenge of building trust in the reliability and accuracy of ChatGPT, emphasizing the need for evaluation, monitoring, and addressing data privacy concerns. Integrating generative AI ChatGPT into library systems was found to enhance efficiency and assist patrons, but technical challenges such as glitches and downtime were reported. Librarians recognized the importance of caution and transparency when delivering ChatGPT-generated results to patrons. Balancing efficiency with accuracy and security emerged as a critical consideration. This study contributes to our understanding of the integration of generative AI in health science librarianship, providing insights that can inform future research and guide practical implementations in this field.
Institution: University of Pittsburgh
Language: English
Topic: Web and Library Services
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4403529685