Please use this identifier to cite or link to this item: http://ir.inflibnet.ac.in/handle/1944/2475
Title: Librarians as Catalysts for Integrating AI Tools in Scholarly Research: A Proposed Model
Authors: Barsha, Sayantoni
Das, Anamika
Munshi, Shamim Aktar
Keywords: Artificial Intelligence,
Scholarly Research,
Academic Librarians,
AI tools
Issue Date: 19-Sep-2024
Publisher: INFLIBNET Centre Gandhinagar
Abstract: The main purpose of this study is to propose a model that outlines the crucial role of librarians in facilitating the integration of Artificial intelligence (AI) tools into scholarly research. A comprehensive review of existing literature on the intersection of librarianship, AI technology, and scholarly research was conducted. The study identified some vital research domains where librarians can provide crucial support to researchers through the integration of AI tools. These areas include aiding in the selection of suitable AI technologies, conducting comprehensive literature searches and mapping, facilitating data analysis and visualization, managing citations and references, promoting research integrity and ethical awareness, and assisting with copyediting tasks. Additionally, the study emphasizes the notable challenges confronted by librarians in developing countries in the integration of AI tools in library services. However, the proposed model carries significant implications for both librarians and researchers, providing a strategic framework to optimize the benefits of AI in research activities.
Description: 12th Convention PLANNER-2024 Rajiv Gandhi University, Arunachal Pradesh, September 19-21, 2024
URI: http://ir.inflibnet.ac.in/handle/1944/2475
ISBN: 978-93-81232-13-2
Appears in Collections:PLANNER 2024 Arunachal Pradesh

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