Impact of artificial intelligence text generators (AITGs) on libraries
Abstract
Purpose: The purpose of studying the impact of artificial intelligence text generators (AITGs) on libraries is to examine the effect of AITGs on the library landscape, including the services offered, the resources provided and the roles of library staff. Design/methodology/approach: The current study examined how AITGs impact libraries. The researcher was able to comprehend the problem by critically analyzing and reviewing the pertinent published works, such as books, journals and articles. Findings: This study concludes AITGs can assist libraries in streamlining operations, enhancing services and making collections more accessible. It is vital to highlight that AITGs are not intended to dissuade its users from visiting physical libraries or to replace them with virtual ones. Instead, they are a tool that can improve and supplement the services and resources provided by virtual libraries. Originality/value: The study’s observations add to the corpus of information on AITGs in libraries and help users comprehend their technological foundations. Further empirical research is recommended on the effects of AITGs and their impact on libraries.
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AI-powered Chatbots (e.g., BlenderBot and LaMDA) and AI text generators appear in the dataset with lower frequencies.
“AI-powered Chatbots, such as BlenderBot and LaMDA, and AI text generators (AITG) appear in the dataset, albeit with lower frequencies [73,110].”
From Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis (2023) · cites this paper as [73]
Cites
Chatting about ChatGPT: how may AI and GPT impact academia and libraries?
Lund, B. D., & Wang, T. (2023) · Library Hi Tech News · doi:10.1108/lhtn-01-2023-0009 · Cited by 1,355 · see citing works
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Gal, R., Alaluf, Y., Atzmon, Y., Patashnik, O., Bermano, A. H., Chechik, G., & Cohen-Or, D. (2022) · arXiv · doi:10.48550/arxiv.2208.01618 · Cited by 611 · see citing works
Using AI to write scholarly publications
Hosseini, M., Rasmussen, L. M., & Resnik, D. B. (2024) · Accountability in Research · doi:10.1080/08989621.2023.2168535 · Cited by 286 · see citing works
Redefining Creativity in the Era of AI? Perspectives of Computer Scientists and New Media Artists
Wingström, R., Hautala, J., & Lundman, R. (2024) · Creativity Research Journal · doi:10.1080/10400419.2022.2107850 · Cited by 201 · see citing works
SEARCH PROCEDURES IN THE LIBRARY—ANALYSED FROM THE COGNITIVE POINT OF VIEW
Ingwersen, P. (1982) · Journal of Documentation · doi:10.1108/eb026727 · Cited by 186 · see citing works
Ethical implications of text generation in the age of artificial intelligence
Illia, L., Colleoni, E., & Zyglidopoulos, S. (2023) · Business Ethics, the Environment & Responsibility · doi:10.1111/beer.12479 · Cited by 128 · see citing works
ChatGPT: Implications for academic libraries
Cox, C., & Tzoc, E. (2023) · College & Research Libraries News · doi:10.5860/crln.84.3.99 · Cited by 119 · see citing works
Artificial Intelligence in Libraries
Omame, I. M., & Alex-Nmecha, J. C. (2019) · Advances in library and information science (ALIS) book series · doi:10.4018/978-1-7998-1116-9.ch008 · Cited by 118 · see citing works
ChatGPT and Its Possible Impact on Library Reference Services
Chen, X. (2023) · Internet Reference Services Quarterly · doi:10.1080/10875301.2023.2181262 · Cited by 96 · see citing works
You never fake alone. Creative AI in action
de Vries, K. (2020) · Information Communication & Society · doi:10.1080/1369118x.2020.1754877 · Cited by 65 · see citing works
Shifted Diffusion for Text-to-image Generation
Zhou, Y., Liu, B., Zhu, Y., Yang, X. P., Chen, C., & Xu, J. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.00979 · Cited by 54 · see citing works
On the person-based predictive policing of AI
Hung, T.-W., & Yen, C.-P. (2020) · Ethics and Information Technology · doi:10.1007/s10676-020-09539-x · Cited by 45 · see citing works
Value attributed to text-based archives generated by artificial intelligence
Darda, K., Carre, M., & Cross, E. (2023) · Royal Society Open Science · doi:10.1098/rsos.220915 · Cited by 37 · see citing works
Efficiency of Automatic Text Generators for Online Review Content Generation
Perez-Castro, A., Torres, M. D. R. M., & Toral, S. L. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122380 · Cited by 34 · see citing works
Library 4.0 and Sustainable Development: Opportunities and Challenges
Msauki, G. (2021) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80043-656-520201012 · Cited by 19 · see citing works
Digital Library Practice in University: Advantages, Challenges, and Its Position
Perdana, I. A., & Prasojo, L. D. (2020) · International Conference on Educational Research and Innovation (ICERI) · doi:10.2991/assehr.k.200204.009 · Cited by 18 · see citing works
Importance of Digital Library in Education
Khan, R. (2021) · International Journal of Research in Library Science · doi:10.26761/ijrls.7.4.2021.1467 · Cited by 18 · see citing works
Tu, Y., Hwang, G., Chen, S.-Y., Lai, C., & Chen, C. (2021) · The Electronic Library · doi:10.1108/el-07-2021-0129 · Cited by 15 · see citing works
Xiao, J., & Gao, W. (2020) · The Serials Librarian · doi:10.1080/0361526x.2020.1707599 · Cited by 14 · see citing works
The Roles of the Future Library
Murr, L. E., & Williams, J. B. (1987) · Library Hi Tech · doi:10.1108/eb047693 · Cited by 13 · see citing works
Text to Image Generation: Leaving no Language BehindPreprint
Reviriego, P., & Merino-Gómez, E. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2208.09333 · Cited by 12 · see citing works
Lafite2: Few-shot Text-to-Image GenerationPreprint
Zhou, Y., Li, C., Chen, C., Gao, J., & Xu, J. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2210.14124 · Cited by 7 · see citing works
20 Artificial Intelligence and Text and Data Mining: Future Rules for Libraries?
Izquierdo, H. A. (2022) · De Gruyter eBooks · doi:10.1515/9783110732009-022 · Cited by 5 · see citing works
Automatic Content-based Indexing of Digital Documents through Intelligent Processing Techniques
Esposito, F., Ferilli, S., Basile, T. M. A., & Mauro, N. D. (2006) · International Conference on Document Image Analysis for Libraries (DIAL) · doi:10.1109/dial.2006.5 · Cited by 3 · see citing works
Economic Significance of Digital Libraries: A Structured Review
Akpokurerie, A. O., & Nina-Okpousung, M. (2020) · Information Impact Journal of Information and Knowledge Management · doi:10.4314/iijikm.v10i2.12 · Cited by 2 · see citing works
Text Retrieval Systems for Libraries: an overview
(1992) · VINE · doi:10.1108/eb040479 · Cited by 1 · see citing works
Shifted Diffusion for Text-to-image GenerationPreprint
Zhou, Y., Liu, B., Zhu, Y., et al. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2211.15388 · Cited by 1 · see citing works
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Bahroun, Z., Anane, C., Ahmed, V., & Zacca, A. (2023) · Sustainability · doi:10.3390/su151712983 · Cited by 784 · see citing works
Vrontis, D., Chaudhuri, R., & Chatterjee, S. (2023) · Sustainability · doi:10.3390/su151612196 · Cited by 38 · see citing works
Dashkevych, O., & Portnov, B. A. (2024) · Technology in Society · doi:10.1016/j.techsoc.2024.102555 · Cited by 28 · see citing works
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Islam, M. N., & Hu, G. (2025) · SAGE Open · doi:10.1177/21582440251327528 · Cited by 26 · see citing works
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Jabeen, M., & Lux, C. (2026) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2026.103221 · Cited by 9 · see citing works
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ثابت, م. (2024) · المجلة المصرية لعلوم المعلومات · doi:10.21608/jesi.2024.257032.1117 · Cited by 1 · see citing works
Ülkü, A. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub399.c1569 · Cited by 2 · see citing works
Prasetyadi, A., Sutyawan, A. G., Nur, W. H., Bisri, A., Hanifa, N. R., Shomim, A. F., Arisa, D., & Nurfiani, D. (2024) · International Conference on Computer, Control, Informatics and its Applications · doi:10.1109/ic3ina64086.2024.10732244 · Cited by 1 · see citing works
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Kaptangil, K., Bayram, A. T., Uysal, D., Nazlı, M., Mutlu, E., Özdemir, S., Demirtaş, N., Yılmaz, R., Okur, F., Çalışkan, S., et al. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub399 · Cited by 1 · see citing works
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Aydın, M. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub399.c1575
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- Authors
- Inamdar, S.
- Corresponding author
- Inamdar, Saba
- ORCID
- Inamdar, Saba
- Venue
- Library Hi Tech News
- Publisher
- Emerald
- Published
- 2023-05-03
- Volume
- 40
- Issue
- 8
- Pages
- 9-13
- ISSN
- 0741-9058 (ISSN-L)
- OpenAlex
- W4367679688
- Cited by
- 16
- References
- 26
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 3 · 2023: 8
- FWCI
- 3.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Library Hi Tech News (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Library Science and Information
- Physical Sciences › Computer Science › Information Systems › Web and Library Services
- Physical Sciences › Computer Science › Information Systems › Library Collection Development and Digital Resources
- Keywords
- large language models, libraries, library services, library resources, librarian roles, virtual libraries, physical libraries, library operations
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