Exploring the Adoption of AI-Enabled Human Resource Management in Bangladesh’s Government Institutions

Purpose: This paper explores the implementation of artificial intelligence (AI) in human resource management in the Bangladesh government sector. The study uses survey data of 400 government officials in the public organizations of Bangladesh and utilizes qualitative insights to assess institutional readiness, perceived obstacles, and possible implementation strategies.  Study Design: The study follows a quantitative approach by conducting descriptive statistics, regression, and correlation analyses. A questionnaire is developed to measure the variables of the study through a survey.  Findings: The results indicate moderate levels of readiness in data systems, leadership awareness, and critical gaps in human capacity, data quality, and ethical governance. Although there is great evidence of the benefits of AI, there are still major infrastructural and regulatory hurdles. The regression and correlation analyses provide confirmation that both awareness of readiness and barriers play a significant role in the implementation of AI, which suggests integrating AI in human resource management by following step-by-step, government-based, and capacity-based strategies, aligning with national policy goals.  Value: This study shows the pathways and opportunities for policymakers of Bangladesh’s law enforcement agencies to introduce AI-driven human resource management practices by obtaining clear and fair perceptions of law enforcement professions