University of North Texas 
Artificial Intelligence (AI) and Libraries Research
Libraries have long served as trusted intermediaries between information and the public. The emergence of generative artificial intelligence is reshaping this role in key ways. On one hand, AI technologies are being integrated into library operations and services, from AI-assisted cataloging and discovery systems to chatbots handling reference queries and predictive analytics informing collection development. On the other, librarians are increasingly called upon to serve as educators and guides in AI literacy, helping patrons critically evaluate AI-generated information, navigate algorithmic bias, and understand the ethical and privacy implications of the tools they encounter daily. These dual roles place libraries in a unique position, both promoting technology adoption and navigating information ethics.
Some Useful Videos for Learning More About AI and Libraries
AI and Libraries Scholarly Resources
Alam, A. F., Subaveerapandiyan, A., Mvula, D., & Tiwary, N. (2024). AI literacy and Zambian librarians: A study of perceptions and applications. Open Information Science, 8(1), Article 20220166.
Ayinde, L., Ebiefung, R., & Oladokun, B. D. (2026). Adoption of artificial intelligence in academic libraries: A systematic review of current practices, challenges, and research opportunities. The Journal of Academic Librarianship, 52(1), Article 103185.
Cox, A. (2021). The impact of AI, machine learning, automation and robotics on the information professions: A report for CILIP. CILIP.
Cox, A. (2025). AI and the UK library profession: Survey report 2025. CILIP.
Cox, A. M., Pinfield, S., & Rutter, S. (2019). The intelligent library: Thought leaders' views on the likely impact of artificial intelligence on academic libraries. Library Hi Tech, 37(3), 418–435.
Hervieux, S., & Wheatley, A. (2021). Perceptions of artificial intelligence: A survey of academic librarians in Canada and the United States. The Journal of Academic Librarianship, 47(1), Article 102270.
Lund, B. D., Mannuru, N. R., & Agbaji, D. (2024). AI anxiety and fear: A look at perspectives of information science students and professionals towards artificial intelligence. Journal of Librarianship and Information Science, 56(4), 1041–1055.
Lund, B. D., Omame, I., Tijani, S., & Agbaji, D. (2020). Perceptions toward artificial intelligence among academic library employees and alignment with the diffusion of innovations' adopter categories. College & Research Libraries, 81(5), 865–882.
Oladokun, B. D., Enakrire, R. T., Okai, E. D. J., & Owolabi, K. A. (2025). The double-edged sword of AI: Librarians' perceptions of job displacement and polarization. The Electronic Library, 43(5), 818–838.
Wheatley, A., & Hervieux, S. (2019). Artificial intelligence in academic libraries: An environmental scan. Information Services & Use, 39(4), 347–356.
Yoon, J., Andrews, J. E., & Ward, H. L. (2022). Perceptions on adopting artificial intelligence and related technologies in libraries: Public and academic librarians in North America. Library Hi Tech, 40(6), 1893–1915.
Aboelmaged, M., Bani-Melhem, S., Ahmad Al-Hawari, M., & Ahmad, I. (2025). Conversational AI chatbots in library research: An integrative review and future research agenda. Journal of Librarianship and Information Science, 57(2), 331–347.
Allison, D. (2012). Chatbots in the library: Is it time? Library Hi Tech, 30(1), 95–107.
Bevara, R. V. K., Lund, B. D., Mannuru, N. R., Karedla, S. P., Mohammed, Y., Kolapudi, S. T., & Mannuru, A. (2025). Prospects of retrieval augmented generation (RAG) for academic library search and retrieval. Information Technology and Libraries, 44(2).
Lappalainen, Y., & Narayanan, N. (2023). Aisha: A custom AI library chatbot using the ChatGPT API. Journal of Web Librarianship, 17(3), 37–58.
Oyedokun, T. T. (2025). Robotics and artificial intelligence (AI) in public libraries for transformational information services in the era of the fourth industrial revolution. Public Library Quarterly. Advance online publication.
Park, S. G. (2026). AI and systematic reviews: Can AI tools replace librarians in the systematic search process? Science & Technology Libraries, 45(2), 131–151.
Wang, X., Lin, X., & Shao, B. (2022). Artificial intelligence changes the way we work: A close look at innovating with chatbots. Journal of the Association for Information Science and Technology, 74(3), 339–353.
Ali, M. Y., & Richardson, J. (2025). AI literacy guidelines and policies for academic libraries: A scoping review. IFLA Journal, 51(3), 588–599.
Cox, A. M., & Mazumdar, S. (2024). Defining artificial intelligence for librarians. Journal of Librarianship and Information Science, 56(2), 330–340.
Ko, C. R., & Chiu, M. H. (2024). How can academic librarians support generative AI literacy: An analysis of library guides using the ACRL Information Literacy Framework. Proceedings of the Association for Information Science and Technology, 61(1), 977–979.
LaFlamme, K. A. (2025). Scaffolding AI literacy: An instructional model for academic librarianship. The Journal of Academic Librarianship, 51(3), Article 103041.
Lo, L. S. (2023). The CLEAR path: A framework for enhancing information literacy through prompt engineering. The Journal of Academic Librarianship, 49(4), Article 102720.
Buckland, M. K. (1986). Education for librarianship in the next century. Library Trends, 34(4), 777–788.
Cox, A. (2022). How artificial intelligence might change academic library work: Applying the competencies literature and the theory of the professions. Journal of the Association for Information Science and Technology, 74(3), 367–380.
Cox, A. (2024). Academic librarian competencies and artificial intelligence. South African Journal of Libraries and Information Science, 90(2), 1–9.
Faraj, S., Pachidi, S., & Sayegh, K. (2018). Working and organizing in the age of the learning algorithm. Information and Organization, 28(1), 62–70.
Jarrahi, M. H., Lutz, C., Boyd, K., Oesterlund, C., & Willis, M. (2022). Artificial intelligence in the work context. Journal of the Association for Information Science and Technology, 74(3), 303–310.
Jin, Y., Yan, L., Echeverria, V., Gašević, D., & Martinez-Maldonado, R. (2025). Generative AI in higher education: A global perspective of institutional adoption policies and guidelines. Computers and Education: Artificial Intelligence, 8, Article 100348.
Lund, B. D. (2026). Artificial intelligence for libraries. Bloomsbury.
Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: How may AI and GPT impact academia and libraries? Library Hi Tech News.
Mannheimer, S., Bond, N., Young, S. W., Kettler, H. S., Marcus, A., Slipher, S. K., ... Sheehey, B. (2024). Responsible AI practice in libraries and archives: A review of the literature. Information Technology and Libraries, 43(3).
AI for Libraries Research Guides
Wellington Institute of Technology
The SALAMANDER project is funded through the generous support of the Institute of
Museum and Library Services, Grant Number RE-259543-OLS-26.
This resource guide was created by Dr. Brady Lund and graduate assistant Bryan Anderson.
Last Updated September 25, 2026.