Navigating AI Integration in Human Resource Management: Challenges, Opportunities, and the Future of Work

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Deepti Prakash, Seema Parveen, Rajni Sharma, Soniya Gambhir

Abstract

Artificial Intelligence (AI) is fundamentally altering the landscape of Human Resource Management (HRM). From recruitment algorithms to predictive employee analytics, AI is being integrated into nearly every HR function. While this transformation promises efficiency, cost savings, and strategic insights, it also raises significant concerns regarding ethics, fairness, privacy, and workforce displacement. This conceptual paper critically explores the integration of AI in HRM, guided by theoretical frameworks including the Technology Acceptance Model, Human Capital Theory, Socio-Technical Systems Theory, and Ethics in Organizational Justice. The paper also proposes a conceptual framework to understand the mediating factors that influence successful AI adoption in HR functions. Finally, it outlines the future implications for HR strategy, providing organizations with insights into creating a balanced, ethical, and strategic path toward AI adoption.

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