AI ethics in recruitment and employee performance evaluation
Published: August 3, 2026
doi:10.62831/nckh.2026.374.v1
Abstract
Artificial intelligence (AI) is advancing rapidly and driving profound transformations in modern human resource management, particularly in recruitment and employee performance appraisal. AI enables organizations to automate recruitment procedures, process large-scale data, analyze candidate behavior, and support faster and more data-driven HR decision-making. However, its application also raises significant ethical concerns, including algorithmic bias, limited transparency, privacy infringement, and the risk of workplace discrimination. Using a literature review approach, this study examines the ethical dimensions of AI adoption in recruitment and performance appraisal. The findings indicate that although AI offers substantial opportunities to improve the efficiency and effectiveness of human resource management, it may also threaten fairness and social responsibility if appropriate governance and control mechanisms are absent. Based on these insights, the study proposes principles for developing ethical AI systems in human resource management, with the aim of ensuring transparency, fairness, accountability, and human-centered practices in organizational operations.
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