Author: Madhusudhan Margam; Pandey, Parbati; Bharti, Ravindra Kumar (2025)
Annotation: This study reports on a survey of 100 LIS students at the University of Delhi about their use of ChatGPT for academic work. Findings show high recognition and use for assignments due to free, 24/7 access, but also concerns about accuracy, over-reliance, and the lack of institutional policies on AI use.

Link: https://doi.org/10.14429/djlit.20570

Author: Rory L.L. Sie & Debra Nolan

Annotation: This conference paper explores how AI can address client service challenges in libraries. It provides original research on practical AI applications in service delivery.

Link: https://read.alia.org.au/sites/default/files/documents/beyond_time_and_space.pdf

Author: Yang, S. Q. (2024).
Annotation: This study evaluates ChatGPT’s performance on reference questions in libraries, finding it effective in some areas of information retrieval but not yet comparable to human librarians. The research highlights how understanding AI behavior can help librarians adjust services to better meet user needs.
Link: https://elogin02.dtwd.wa.gov.au/login?url=https://www.proquest.com/libraryscience/scholarly-journals/chatgpt-unleashing-power-conversational-ai/docview/3051334521/sem-2?accountid=35887

Author: Beth Twomey, Annie Johnson and Colleen Esters (2023).

Annotation: The document is related to AI reference services in libraries as it discusses the implementation and training of an AI-based chatbot for library services.

Author: Mali & Deshmukh (2023)

Annotation: This is a research study that examines and provides insights into the application of ChatGPT within library services, drawing upon data that has been gathered and observations made throughout the research process.

Link: https://doi.org/10.21884/IJCRT.2023.11.4.264

Author: Vaishali Kaushal & Rajan Yadav

Annotation: This article examines the implementation and user experiences of chatbots in academic libraries, providing insights into their effectiveness and challenges. It offers a practical perspective on integrating AI-driven tools into library services.

Link: https://doi.org/10.1080/24750158.2022.2106403

Author: Martin Frické, The University of Arizona (2024).

Annotation: This open-access textbook offers a comprehensive overview of AI concepts and their applications in librarianship, including chapters on chatbots, language models, and the evolving roles of librarians.

Link: https://open.umn.edu/opentextbooks/textbooks/14

Author: Martin Frické, College of Information Science Professor Emeritus.

Annotation: This textbook section introduces AI concepts and focuses on ChatGPT’s potential uses, including answering reference questions, summarizing content, and assisting with research guidance.
Annotation: Summarizes ChatGPT’s roles in libraries and guides librarians on practical applications, making it a useful background resource.

Link: https://infosci.arizona.edu/news/artificial-intelligence-and-librarianship-book

Author: Norizan Zakaria, Mad Khir Johari Abduallah Sani

Annotation: This systematic review analyzes 11 articles from Scopus and Web of Science, focusing on ChatGPT's implications for library services. The review identifies key themes such as information retrieval, reference assistance, language support, user engagement, personalization, information literacy, collection development, and cataloging and classification. It highlights both the benefits and challenges of integrating ChatGPT into library operations.

Link: https://doi.org/10.21834/e-bpj.v9iSI18.5487

Author: Gusnaldo Kristiadi Syah, Athanasia Octaviani Puspita Dewi and Heriyanto Heriyanto

Annotation: his paper discusses the potential of ChatGPT to assist library reference services by providing access to information in various languages, offering personalized content recommendations, and supporting the research process. It emphasizes ChatGPT's ability to operate without time constraints, enhancing the efficiency and accessibility of library services.

Link: https://doi.org/10.2991/icocas-24.2024.1