University of Illinois Urbana-Champaign

The impact of generative artificial intelligence technologies on Chinese librarians' information behavior and ethical discussion: An empirical study based on a small sample

Chen, Yifei; Li, Yongjie; Wang, Dechao; Sun, Yinan; Lv, Tingyu; Tang, Xiaoli

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https://hdl.handle.net/2142/130748

Description

Title
The impact of generative artificial intelligence technologies on Chinese librarians' information behavior and ethical discussion: An empirical study based on a small sample
Author(s)
  • Chen, Yifei
  • Li, Yongjie
  • Wang, Dechao
  • Sun, Yinan
  • Lv, Tingyu
  • Tang, Xiaoli
Issue Date
2024-10-16
Keyword(s)
  • Generative Artificial Intelligence Technology
  • Information Behavior
  • Information Ethics
  • data management
  • Human-computer interaction & design
  • Information practices
  • Education of information professionals
  • Information services
Abstract
This study used a combination of questionnaires and interviews to survey 68 librarians in mainland China. The questionnaire was divided into three parts: (1) providing descriptive statistics of the interviewed librarians; (2) exploring the impact of generative technologies on librarians' information behaviour from work scenarios; (3) investigating librarians' concerns about ethics and strategies for coping with ethical challenges. The results show that generative AI technologies had a greater impact on information seeking, information encountering, and information using behaviours, and an insignificant impact on information sharing behaviours. In addition, the results of the study reflect that 67.65% of librarians showed a very high level of concern about privacy and security; 66.18% of them believed that the content generated by the tools needed further validation. The study also provided six recommendations from the perspective of libraries and librarians to address ethical challenges such as the spread of disinformation and bias.
Publisher
Association for Library and Information Science Education
Series/Report Name or Number
Proceedings of the ALISE Annual Conference, 2024
Type of Resource
text
Genre of Resource
  • Conference Paper
  • Presentation
Language
eng
Handle URL
https://hdl.handle.net/2142/130748
DOI
https://doi.org/10.21900/j.alise.2024.1648
Copyright and License Information
  • Copyright 2024 Yifei Chen, Yongjie Li, Dechao Wang, Yinan Sun, Tingyu Lv, Xiaoli Tang
  • This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-sa/4.0/).

Owning Collections

Proceedings of the ALISE Annual Conference: ALISE 2024 PRIMARY
The Ethics and Evolution of Truth and Information