AI and the Future of Cognitive Decision-Making in HR

Abstract

This study examines the impact of Artificial Intelligence (AI) on managerial cognition in the field of Human Resource Management (HRM). The research explores how AI systems enhance decision-making by reducing cognitive load, providing data-driven insights, and improving problem-solving capabilities in complex HR tasks such as recruitment, workforce planning, and performance management. A key focus of the study is on balancing AI-generated insights with human intuition, especially in areas where qualitative judgment, such as assessing cultural fit and leadership potential, remains essential. The study also highlights the cognitive adjustments HR managers must make to collaborate effectively with AI, emphasizing the development of data literacy and critical engagement with AI outputs. Additionally, the research addresses the risks of over-reliance on AI, including automation bias and the perpetuation of cognitive biases, and suggests strategies for mitigating these risks through active human oversight. Ethical considerations, including transparency, fairness, and accountability, are explored, and the study advocates for the integration of ethical frameworks into AI systems to ensure responsible and unbiased decision-making. This study contributes to the growing understanding of how AI can enhance, rather than replace, managerial cognition in HRM, fostering more efficient and ethical decision-making processes.