Ethical Implications of Artificial Intelligence in Human Resource Management

Thesis Abstract

Abstract

The increasing use of artificial intelligence (AI) in human resource management (HRM) raises significant ethical concerns related to bias, fairness, transparency, accountability, and privacy. This research focuses on examining the ethical implications of AI-driven HR practices and aims to develop and integrate ethical frameworks into AI systems used for HRM. The study begins with a comprehensive review of AI in HRM, ethical challenges, bias, fairness, transparency, privacy, and existing approaches. A detailed methodology for analyzing ethical frameworks, evaluating bias and fairness, designing transparent and accountable AI systems, and conducting privacy impact assessments is presented. The implementation phase involves the integration of ethical frameworks, assessment of bias and fairness, development of transparent AI algorithms, privacy impact assessment, and comparative analysis of ethical HR practices. The results are visualized to demonstrate the ethical implications in HR management. The thesis concludes with a summary of ethical findings, implications, and recommendations for ethical implementation in AI-driven HRM, providing valuable insights for HR policies and practices.