The increasing integration of artificial intelligence (AI) into Human Resource Development (HRD) has transformed strategic decision-making processes. While prior studies have examined AI adoption, limited attention has been given to how human-AI collaboration operates across multilevel contexts, particularly in non-Western organizational settings. This study addresses this gap through a Systematic Literature Review (SLR) and proposes a multilevel conceptual framework integrating individual, team, and organizational dimensions. The findings reveal that effective HRD decision-making emerges from the alignment of human judgment, collaborative processes, and AI governance. Cultural dimensions such as power distance and collectivism are incorporated as contextual moderators influencing collaboration quality. Furthermore, human-AI collaboration is conceptualized as a dynamic capability enabling organizations to sense, seize, and transform HRD strategies. This study contributes to human-centered AI and HRD literature by offering a culturally grounded and theoretically enriched framework for responsible AI-enabled decision-making. © 2026 IEEE.