International Journal of Academic Research in Business and Social Sciences

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Challenges of Implementation Artificial Intelligence in Human Resources Management

Open access
The challenges that businesses encounter when integrating artificial intelligence (AI) into human resource management (HRM) are examined in this study. It seeks to offer a thorough examination of the labor, technology, ethical, financial, and privacy issues related to the use of AI in HR roles. The literature on AI in HRM that is currently available is analyzed using a qualitative research approach. The paper summarizes earlier studies to pinpoint major obstacles and offers perceptions of the consequences of incorporating AI into conventional HR procedures. The study points out several difficulties, such as skill shortages, ethical conundrums, labor reluctance to AI, and data protection issues. It also draws attention to technical issues such as the opaque nature of artificial intelligence and differences in regional access to technology. Notwithstanding these challenges, AI has the potential to enhance productivity and HRM decision-making; nonetheless, these advantages necessitate cautious handling and ethical deliberations. By funding staff training and promoting an open, moral approach to AI use in HR, organizations can address the unfavourable attitudes and worries around the technology. The technological advantages of AI must be balanced by HR experts with a human-cantered approach to personnel management and data protection. This study offers helpful insights into handling the issues brought by AI and presents an integrated assessment of existing information on AI deployment in HRM. By providing useful tactics for adopting AI and outlining potential routes for further research, it adds to the larger conversation on AI and HRM.
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