AI-DRIVEN HUMAN RESOURCE MANAGEMENT: ENHANCING WORKFORCE DECISIONS THROUGH MACHINE LEARNING INTEGRATION

Authors

  • Nihar Ranjan Agasti Assistant Professor, Department of Management Studies, Medicaps University, Rau, Indore, Madya Pradesh, India
  • Poonam Pachouri Assistant Professor, Department of Management Studies, Medicaps University, Rau, Indore, Madya Pradesh, India
  • Rajeev Kumar Indoria Assistant Professor, Bhabha Engineering Research Institute, Bhabha University, Bhopal, Madya Pradesh, India
  • Syed Shafique Uddin Techno Global University, Sironj, Vidisha, Madya Pradesh, India
  • Mohit Gangwar Sri Satya Sai University of Technology and Medical Sciences, Sehore, Madya Pradesh, India

DOI:

https://doi.org/10.29121/shodhkosh.v7.i1.2026.7170

Keywords:

Artificial Intelligence in HR, Machine Learning in Human Resources, AI-driven recruitment, Predictive HR analytics, Ethical AI in Human Resource Management

Abstract [English]

The evolving landscape of Human Resource Management (HRM) has seen a radical transformation through the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies. These advanced tools are not only automating routine tasks but also reshaping decision-making processes, talent management, performance evaluation, and strategic workforce planning. This paper explores the influence of AI and ML in HRM, examining how their integration enhances efficiency, accuracy, and employee experience. Through data-driven insights, case studies, and current trends, this study investigates the practical applications, challenges, and future potential of AI in managing human capital.

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Published

2026-02-14

How to Cite

Agasti, N. R., Pachouri, P., Indoria, R. K., Uddin, S. S., & Gangwar, M. (2026). AI-DRIVEN HUMAN RESOURCE MANAGEMENT: ENHANCING WORKFORCE DECISIONS THROUGH MACHINE LEARNING INTEGRATION. ShodhKosh: Journal of Visual and Performing Arts, 7(1), 118–127. https://doi.org/10.29121/shodhkosh.v7.i1.2026.7170

Issue

Vol. 7 No. 1 (2026): Volume 7 Issue 1 January-June- 2026

Section

Articles

License

Copyright (c) 2026 Nihar Ranjan Agasti, Poonam Pachouri, Rajeev Kumar Indoria, Syed Shafique Uddin, Mohit Gangwar

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