Generative AI-ChatGPT’s Impact in Health Science Libraries

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.

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Publication Details

Journal
Proceedings of the ALISE Annual Conference
Published
2024-10-16
DOI
https://doi.org/10.21900/j.alise.2024.1659
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.36
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article

Generative AI-ChatGPT’s Impact in Health Science Libraries

Kuo‐Ting Huang, Moyosore Adegboye, Sneha Vaidhyam
3 citations
Proceedings of the ALISE Annual Conference
Artificial Intelligence in Healthcare and Education
0.36
article

Generative AI-ChatGPT’s Impact in Health Science Libraries

Kuo‐Ting Huang, Moyosore Adegboye, Sneha Vaidhyam
article en
3 citations

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.

Proceedings of the ALISE Annual Conference
University of Pittsburgh (US)
Quality Education
Openalex Percentile: Top 35%
Artificial Intelligence in Healthcare and Education
0.36
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Generative AI-ChatGPT’s Impact in Health Science Libraries — Kuo‐Ting Huang, Moyosore Adegboye, et al. · Proceedings of the ALISE Annual Conference (2024) | TGRS Research Map | TGRS