International Journal For Multidisciplinary Research

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Impact of Artificial Intelligence (AI) on Human Resource Management (HRM)

Author(s) Ritika Gupta
Country India
Abstract Incorporating Artificial Intelligence (AI) into Human Resource Management (HRM) has become a significant driving force in shaping contemporary workplaces. This paper comprehensively examines AI's influence on HRM, from its foundational concepts to its practical applications, advantages, challenges, ethical considerations, legal ramifications, anticipated trends, and actionable recommendations. Commencing with an introductory framework, the paper navigates the intricate facets of AI within HRM, elucidating its diverse components and functionalities. It further scrutinizes AI's specific roles in recruitment, training, performance management, and employee engagement, emphasizing its transformative potential. Additionally, the paper articulates the manifold benefits AI affords HRM, such as process optimization, informed decision-making, and enhanced employee engagement, juxtaposed against the inherent challenges, including data integrity, privacy concerns, biases, and algorithmic transparency issues. Addressing AI's ethical and legal dimensions in HRM, the paper underscores the imperative of conscientious AI integration and governance. Furthermore, it anticipates forthcoming AI trends and furnishes strategic guidance for organizations navigating this evolving landscape. Ultimately, the paper advocates for ethical, transparent, and human-centric approaches to AI adoption, underscoring its profound impact on HRM practices and workplace dynamics.
Keywords Human Resource Management, Artificial Intelligence.
Field Business Administration
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-29
Cite This Impact of Artificial Intelligence (AI) on Human Resource Management (HRM) - Ritika Gupta - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.21444
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.21444
Short DOI https://doi.org/gtw6rr
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