Artificial Intelligence In Human Resource Recruitment, Utilization, and Management: an Overview and Responsible Implementation Framework for Vietnamese Businesses

Abstract

Artificial intelligence (AI) is increasingly being applied in human resource management, from recruitment, assisting with HR issues and scheduling to training, performance evaluation, and workforce planning. This article compiles 19 documents that have been checked for publication information and relevance to the research content. The results show that AI can help HR departments process tasks faster, implement more consistent processes, and support the personalization of certain activities. However, the effectiveness of implementation depends on the intended use, data quality, suitability of the assessment methodology, user capabilities, and accountability mechanisms. Key risks include algorithmic bias, uninterpretable results, negative reactions from candidates and employees, personal data breaches, vendor dependence, and a tendency to over-rely on system-generated results. Based on this, the paper proposes a framework for responsible AI deployment consisting of six components: defining purpose and risk levels; data governance; relevance and fairness assessment; ensuring human oversight and decision-making; transparency and review; and continuous monitoring and capacity building. This framework defines AI as a supporting tool, not a replacement for the responsibilities of managers