AUTHOR=Safshekan Meysam , Feili Ardalan , Shojaeifard Ali , Sorooshian Shahryar 
  
TITLE=Artificial intelligence in human resource management: models for recruitment, training, performance, compensation, and retention
  
JOURNAL=Frontiers in Artificial Intelligence
  
VOLUME=Volume 9 - 2026
  
YEAR=2026
  
URL=https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2026.1718244
  
DOI=10.3389/frai.2026.1718244
  
ISSN=2624-8212
  
ABSTRACT=IntroductionIn the era of rapid technological advancement, artificial intelligence (AI) has emerged as a transformative force across various industries, including human resource management (HRM). This study examines the application of AI in HRM systems, with a focus on recruitment, hiring, training, performance management, compensation, and human capital retention.MethodsThis study adopts a qualitative research approach. Experts in artificial intelligence and human resource management were identified, and data were collected through qualitative methods. The data were analyzed using thematic analysis.ResultsThe findings reveal the introduction of AI application models across various HRM systems. These models demonstrate how AI enhances efficiency and effectiveness in key HR functions.DiscussionThe results highlight the transformative potential of AI in HRM by enabling data-driven decision-making and improving workforce planning. This research provides valuable insights for human resource professionals seeking to leverage AI to enhance organizational performance across industries.