Authors:-Assistant Professor Dr. Ankita Singh
Abstract- The rapid integration of Artificial Intelligence (AI) into Human Resource (HR) decision-making has truly transformed how we approach recruitment, performance reviews, and employee engagement. With AI-driven tools, organizations can boost their efficiency by automating tasks, minimizing biases, and making more informed decisions based on data. However, there are still valid concerns about the ethical implications of AI, its lack of emotional intelligence, and the potential for reinforcing biases in hiring and promotion processes. This paper delves into the complex relationship between AI and human judgment in HR, examining how AI can enhance decision-making while ensuring that human oversight maintains fairness, ethical standards, and contextual understanding. By using a mixed-method approach, the study gathers insights from HR professionals on the integration of AI, focusing on key issues like transparency, accountability, and trust in AI-assisted decisions. The findings reveal that while AI significantly boosts efficiency and accuracy in HR tasks, human judgment remains essential for subjective assessments, such as cultural fit, employee well-being, and resolving conflicts. The research proposes a hybrid model that combines AI’s analytical strengths with human insight as the best approach for HR decision-making. This study contributes to the ongoing conversation about AI’s role in HR, offering recommendations for organizations to implement AI responsibly while maintaining ethical practices. It emphasizes the importance of establishing AI governance frameworks, highlighting that AI should complement, not replace, human HR professionals.
DOI: DOI: 10.61463/ijnrefm.vol.2.issue6.107
