Human-Machine Collaboration: Assessing the Role of AI in Enhancing HR Decision-Making

This study explores the role of artificial intelligence (AI) in enhancing HR decision-making, focusing on functions such as recruitment, performance evaluation, talent management, and employee retention. Using a mixed-methods approach, we collected quantitative data from surveys and qualitative insights from interviews with HR professionals across various industries. The results indicate that AI significantly improves decision-making efficiency in data-intensive HR functions by providing predictive insights and automating routine tasks. However, differences in AI adoption exist across company sizes and industries, with larger organizations and sectors like technology and finance demonstrating higher AI adoption and favorable perceptions. The study also underscores the importance of human oversight and ethical considerations, as participants expressed concerns regarding bias, data privacy, and the need for transparency. Our findings suggest that while AI can streamline HR processes, human judgment remains essential for maintaining empathy and ethical standards. We propose a collaborative framework in which AI tools support, rather than replace, HR professionals to achieve a balanced, ethical approach to HR decision-making