ETHICS IN THE RESPONSIBLE USE OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE DECISION-MAKING

Abstract

Artificial Intelligence (AI) has become increasingly significant in human resource management, particularly in recruitment, selection, performance evaluation, and employee development. With its capability to analyze big data and accurately AI offers tremendous potential for improving HR processes. However, the integration of AI in human resource management faces several ethical challenges, including algorithmic bias, transparency in decision-making, data privacy, and corporate accountability in utilizing this technology. This study aims to analyze ethical issues in the application of AI in human resources and present responsible approaches to utilizing AI that minimize potential ethical risks. This paper focuses on analyzing ethical approaches to using AI in human resource management, emphasizing four key ethical principles: transparency, explainability and interpretability, fairness, and auditability. It presents case studies, both positive and negative, to highlight the potential impacts of AI implementation in human resource management. Furthermore, the paper proposes the best practices for designing and developing AI systems that enable fair and responsible decision-making. Adherence to these four ethical principles strengthens trust between organizations and employees, enhances the effectiveness of human resource decision-making, and enables organizations to fully leverage AI capabilities while maintaining social responsibility. This balanced approach ensures that technological advancement in HR practices enhances rather than undermines fairness, creating a workplace where AI serves as a tool for more effective and ethical human resource management.