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Ms. Alisha Hashmi is an Assistant Professor in the Department of Management Studies at Sagar Institute of Science and Technology, Bhopal, India. Her research focuses on human resource management, organizational development, and digital business strategies.
The swift progression of Artificial Intelligence (AI) and Machine Learning (ML) is revolutionising workforce development and Human Resource Management (HRM) by facilitating intelligent talent acquisition, employee engagement, performance assessment, learning and development, workforce planning, and strategic decision-making. Conventional HR approaches frequently depend on manual procedures and subjective evaluations, constraining their capacity to adapt to evolving organisational requirements. Machine learning utilises extensive workforce data to produce predictive insights, automate mundane processes, customise employee experiences, and facilitate evidence-based HR policies. Organisations can cultivate agile, inclusive, and future-ready workforces by integrating machine learning with cloud computing, big data analytics, natural language processing, and people analytics. This chapter examines the ideas, methodology, applications, problems, and future trajectories of machine learning in workforce development and human resource innovation, emphasising its contribution to improving organisational performance, employee welfare, and sustainable talent management.