Employee Perceptions of AI in HRM and the Development of Ethical Guidelines

Ravi Kant, Yadav (2025) Employee Perceptions of AI in HRM and the Development of Ethical Guidelines. International Journal of Trend in Scientific Research and Development, 9 (1). pp. 239-243. ISSN 2456-6470

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Abstract

Artificial Intelligence (AI) is reshaping Human Resource Management (HRM) by enhancing tasks such as hiring, performance management, and workforce planning through advanced technologies like machine learning and predictive analytics. These tools make HR processes more efficient and data-driven. However, the increasing use of AI in HRM brings up important concerns about how employees perceive these systems and the ethical issues involved. This paper investigates employee perceptions of AI in HRM, focusing on aspects such as trust, job security, and fairness. While AI improves productivity and decision-making, it also raises concerns about transparency, privacy, and potential job losses. Employees often worry about how transparent and fair AI systems are, which can affect their trust and acceptance of these technologies. The study reviews current ethical guidelines related to AI in HRM and identifies gaps, particularly in areas like transparency, bias, and the risk of dehumanizing HR processes. Many existing frameworks do not fully address these issues, indicating a need for more comprehensive and adaptable standards. The research uses a descriptive design, relying on secondary data from various sources including academic journals, industry reports, books, and reputable websites. This approach helps in understanding employee attitudes towards AI, evaluating current ethical guidelines, and proposing improvements. Key findings reveal that while employees appreciate the efficiency of AI, they have significant concerns about job security and privacy. The study highlights the importance of clear communication about how AI systems operate to build trust and acceptance among employees. Additionally, sector-specific differences in AI perceptions suggest that tailored approaches are necessary for effective AI integration. Overall, the study emphasizes that although AI provides substantial benefits in HRM, addressing the associated challenges is crucial. Enhancing transparency, protecting privacy, and ensuring fairness are key to aligning AI practices with employee welfare and organizational goals.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	29 Jan 2025 06:02
Last Modified:	29 Jan 2025 06:02
URI:	http://eprints.umsida.ac.id/id/eprint/15327

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