Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Balaji, K. Title A name given to the resource HR 4.0: Integrating AI and automation in human resource development Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived AI and Innovation in HRM: The Future of Strategic HR in the Service Economy;pp.170-190 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4324/9781003522157-11" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003522157-11</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105014132893?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014132893?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Balaji K., Christ University, Bangalore, India Description An account of the resource Artificial Intelligence (AI) and automation within Human resource development (HRD) under the concept of HR 4.0 are revolutionizing HR practices by enhancing efficiency, accuracy, and strategic decision-making. These technologies transform key HRD processes such as training, talent management, and employee engagement, driving organizational success. This study systematically reviews the integration of AI and automation practices within Human resource development under the concept of HR 4.0. It examines how these technologies are transforming HRD practices, including training, talent management, performance evaluation, and employee engagement. Through a comprehensive analysis of existing literature from library data from published electronic and printed databases, the study identifies key trends, benefits, and challenges associated with artificial intelligence and automation techniques in Human Resource Development practices. The narrative synthesis of findings reveals the profound impact of these technologies on improving efficiency, accuracy, and strategic decision-making in HRD processes. Furthermore, the review highlights ethical considerations, such as data privacy and algorithmic bias, and offers practical insights for HRD practitioners aiming to leverage AI and automation effectively. It also recognizes research gaps and suggests future research directions to further explore the potential of Artificial Intelligence and automation in enhancing human resource development. 2026 Pushan Kumar Dutta, Amarnath Padhi, Sulagna Das, Vinod Kr Sharma and Poshan Yu. All rights reserved. Publisher An entity responsible for making the resource available Taylor and Francis Relation A related resource ISBN: 978-100352215-7; 978-103286275-0; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online