The Integration of AI in HRM: Exploring Its Past, Present, and Future Implications | [Pakistan Journal of Life and Social Sciences • 2025]

Author(s):

1. Mohamed Alkashami: Faculty of Business Studies, Arab Open University, Bahrain

2. Syed Iradat Abbas: Institute of Business Management, Karachi, Pakistan

3. Ebtisam Labib: Faculty of Business Studies, Arab Open University, Saudi Arabia

Abstract:

The integration of Artificial Intelligence (AI) in Human Resource Management (HRM) is revolutionizing workforce management by enhancing efficiency, decision-making, and employee experience. This study examines the past, present, and future implications of AI in HRM, emphasizing its role in recruitment, performance management, training, and employee engagement. AI-driven solutions, such as applicant tracking systems (ATS), predictive analytics, and AI-powered chatbots, have streamlined recruitment, reducing manual effort by 40% and accelerating hiring by 30-50% (Gartner, 2022; Upadhyay & Khandelwal, 2018). Additionally, AI in performance management enables real-time feedback and data-driven evaluations, improving workforce productivity. Despite its benefits, challenges such as algorithmic bias, data privacy concerns, and ethical transparency persist, with research indicating that 45% of AI hiring models may exhibit unintended biases (Harvard Business Review, 2022). The study further explores emerging trends, including AI-driven workforce planning, HR analytics dashboards, and blockchain applications in HR data management, offering insights into the evolving role of AI in HRM. A balanced approach integrating AI efficiency with human oversight is essential to ensure ethical, transparent, and effective HRM practices. The study concludes that AI will continue to reshape HR functions, necessitating continuous upskilling, ethical AI governance, and strategic adoption to optimize its potential for workforce management.

Page(s): 6732-6747

DOI: 10.57239/PJLSS-2025-23.1.00525

Published: Journal: Pakistan Journal of Life and Social Sciences, Volume: 23, Issue: 1, Year: 2025

Keywords:

Artificial Intelligence AI Human Resource Management HRM AIdriven Recruitment Applicant Tracking System ATS Predictive Analytics AIPowered ChatbotsPerformance ManagementWorkforce Optimization

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