The Future of HR: Human-AI Collaboration in HR Management

Abstract

This literature review reflects upon the opportunity for Artificial Intelligence (AI) not from a mechanical standpoint but from the perspective of interactive human-AI collaboration in Human Resource Management (HRM). The primary objective is to examine how AI technologies, including machine learning, chatbots, and natural language processing, are being utilized to improve recruitment, performance management, employee engagement, and learning and development. The paper also explores collaboration models like augmented intelligence and human-in-the-loop systems, and how they contribute to improved decision-making, bias reduction, and HR automation processes. The research applies a Systematic Literature Review (SLR) approach to collate evidence from business reports, industry case studies, and academic publications. This paper also outlines a phased roll-out of AI adoption, beginning with low-risk use cases like resume screening, supported by leadership communication, digital upskilling, and transparent governance. The development of an innovative and trusting culture is essential to the successful deployment of AI in HR practices. The contributions of this study indicate that AI integration in HR has significant implications for HR professionals and policymakers and enhances their productivity by automating routine tasks and enables them to focus on capacity development and strategic initiatives.