Objective: With the advancement of new technologies, artificial intelligence has emerged as a transformative tool in human resource management. This study aimed to investigate the factors influencing the acceptance of artificial intelligence in the recruitment process of conscript teachers in Iran's education system.
Methodology: This applied research employed a descriptive-analytical approach. Data were collected through online questionnaires and analyzed using an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model. The study population comprised 274 human resource professionals and recruitment specialists in the education sector.
Findings: Performance expectancy demonstrated the most significant impact on technology adoption. Perceived autonomy also showed meaningful influence on AI acceptance. Notably, factors related to privacy/security and technology trust did not exhibit substantial effects, indicating users' prioritization of operational efficiency over these concerns
Originality: The findings suggest that enhancing AI adoption in education requires focusing on improving users' understanding of practical benefits and strengthening their sense of control. Furthermore, intelligent system design should carefully consider the organizational and cultural characteristics of Iran's educational environment to ensure effective implementation.