The Evolution of AI Technologies in HRM with Reference to Global Perspective and UK Perspective

Book chapter


Rajesh, B., Chanda, R. and Thankappan-Nair, P. 2025. The Evolution of AI Technologies in HRM with Reference to Global Perspective and UK Perspective. in: Kakade, K. S. and Vispute, S. A. (ed.) AI Dynamics in HRM: Revolutionizing Practices for the Future Workplace Apple Academic Press.
AuthorsRajesh, B., Chanda, R. and Thankappan-Nair, P.
EditorsKakade, K. S. and Vispute, S. A.
Abstract

The integration of Artificial Intelligence (AI) technologies in Human Resource Management (HRM) has garnered significant attention in recent years, reshaping traditional HR practices and processes. This chapter aims to provide a comprehensive exploration of the evolution of AI technologies in HRM, offering insights from both a global perspective and with a specific focus on the United Kingdom (UK). By examining historical developments, current trends, and outlook, this chapter seeks to elucidate the transformative impact of AI on HRM practices worldwide.

Historical Context
The journey towards integrating AI technologies in HRM can be traced back to the early adoption of computers and specialized software applications in HR processes. From the introduction of mainframe computers for payroll processing to the emergence of HR Information Systems (HRIS) in the 1980s and 1990s, technological advancements laid the foundation for the digitalization of HRM practices (Stone, 1987). This historical context provides a backdrop for understanding the trajectory of AI integration in HRM.

Current Trends
In the contemporary landscape, AI technologies are revolutionizing various facets of HRM, including recruitment, talent management, employee engagement, and workforce analytics. Globally, organizations are leveraging AI-powered tools and platforms to automate routine tasks, enhance decision-making processes, and optimize HR operations (Bersin, 2019). A comparative analysis of global trends and UK-specific practices offers valuable insights into the adoption and impact of AI technologies in different contexts.

Outlook
Looking ahead, the future of AI in HRM holds immense potential for further innovation and transformation. With advancements in machine learning, natural language processing, and predictive analytics, AI technologies are poised to play an increasingly integral role in shaping HRM practices. However, challenges such as ethical considerations, data privacy concerns, and regulatory frameworks need to be addressed to realize the full benefits of AI in HRM.

As organizations navigate the evolving landscape of HRM, understanding the evolution of AI technologies and their implications becomes paramount. This chapter aims to contribute to the scholarly discourse by providing insights into the global evolution of AI in HRM, while also offering a nuanced perspective on the UK-specific context. By examining historical developments, current trends, and outlook, this chapter seeks to inform academics, practitioners, and policymakers about the transformative potential of AI in HRM practices.

Book title AI Dynamics in HRM: Revolutionizing Practices for the Future Workplace
Year2025
PublisherApple Academic Press
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Anyone
Publication dates
PrintDec 2025
Publication process dates
Deposited11 Jul 2025
ISBN 9781779641366
Web address (URL)https://appleacademicpress.com/ai-dynamics-in-hrm-revolutionizing-practices-for-the-future-workplace/9781779641366
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