IJBTT

A Review on AI and ML Transformation in Human Resources Management
	© 2024 by IJCTT Journal
	Volume-72 Issue-5
	Year of Publication : 2024
	Authors : Prabu Manoharan
	DOI :  10.14445/22312803/IJCTT-V72I5P126

How to Cite?

Prabu Manoharan, "A Review on AI and ML Transformation in Human Resources Management," International Journal of Computer Trends and Technology, vol. 72, no. 5, pp. 210-216, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I5P126

Abstract
The integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies into Human Resources Management (HRM) practices has garnered significant attention in recent years due to its potential to revolutionize traditional HR processes. This review paper provides a comprehensive analysis of the current state of AI and ML transformation in HRM, exploring its theoretical foundations, practical applications, benefits, challenges, and future directions. Drawing upon a systematic literature review methodology, this paper synthesizes existing research to identify key trends, challenges, and opportunities in leveraging AI and ML in various HRM functions. Specifically, it examines AI and ML applications in recruitment and selection, employee engagement and retention, performance management, and diversity and inclusion initiatives. Through the lens of theoretical frameworks and case studies, this paper elucidates how AI and ML technologies are reshaping HRM practices, enabling organizations to make data-driven decisions, enhance efficiency, and foster a more inclusive and diverse workplace culture. Additionally, this paper highlights the benefits of AI and ML adoption in HRM, such as improved candidate screening accuracy, personalized learning and development programs, and real-time performance feedback mechanisms, while also addressing the challenges associated with algorithmic bias, data privacy concerns, and organizational readiness. Overall, this review contributes to the existing body of knowledge by offering insights into the transformative potential of AI and ML in HRM and providing practical implications for HR practitioners, researchers, and organizational leaders.

Keywords
Artificial Intelligence, Machine Learning, Diversity and inclusion, Algorithmic bias, Data privacy.

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