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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 2, FEBRUARY 2025

Ethical and Legal Implications of Integrating AI into HR Practices: Structures, Obstacles, and Suggestions

H.M Gaikwad, Amey Malpurkar

DOI: 10.17148/IJARCCE.2025.14237

Abstract: This study examines the evolving role of artificial intelligence (AI) in the field of human resource management (HRM),shedding light on its transformative capabilities and obstacles. A comprehensive literature analysis spanning from 2010 to 2020 revealed a disjointed body of knowledge regarding AI integration in HRM and underscored the necessity for additional research into human-AI synergy. Principal discoveries suggest that while AI can boost productivity and enable data-informed decision-making, it also generates concerns about managerial power disparities, ethical quandaries, and potential job losses. Our investigation demonstrates that AI's impact on HRM is multidimensional and shaped by contextual elements such as organizational leadership and employee competencies. As a result, we propose a balanced strategy that emphasizes enhancing human capabilities through AI rather than substituting them. This study advocates for thorough research on the characteristics that promote successful AI adoption among workers and organizations, as well as the ramifications of AI on employee autonomy. By addressing current research gaps, we aim to contribute to a more nuanced comprehension of AI's bla in HRM and emphasize the crucial role of HR professionals in guiding its responsible implementation.[1]

Keywords: Human Resource Management Artificial Intelligence (AI), Human-AI Collaboration, AI Adoption, Organizational Culture, Employee Skills, Ethical Considerations, Data-Driven Decision Making, AI Bias, Performance Enhancement

How to Cite:

[1] H.M Gaikwad, Amey Malpurkar, “Ethical and Legal Implications of Integrating AI into HR Practices: Structures, Obstacles, and Suggestions,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14237