Effectiveness of Artificial Intelligence for Enhancing Decision-Making Process of Recruitment in HRM Process

Abstract

The integration of Artificial Intelligence (AI) into the recruitment process represents a significant advancement in Human Resource Management (HRM), aiming to optimize the efficiency and effectiveness of hiring practices. This paper explores the effectiveness of AI in improving decision-making processes within HRM, focusing on machine learning's role in streamlining candidate sourcing, enhancing candidate experience, boosting screening efficiency, optimizing interview processes, and improving onboarding experiences. By examining various studies and technological applications, it highlights the transformative potential of AI in recruitment, addressing challenges such as bias mitigation, engagement improvement, and access expansion to diverse talent pools. The research underscores the critical need for developing human-centric AI systems that prioritize transparency, privacy, accountability, fairness, and societal benefit. Through a comprehensive analysis, the paper advocates for the strategic implementation of AI in recruitment, emphasizing continuous monitoring, evaluation, and the necessary training for HR professionals to harness AI's full potential.

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