Ethical and Legal Challenges of AI in Human Resource Management


  • Jiaxing Du



Artificial Intelligence (AI), Human Resource Management (HRM), Ethical Challenges, Legal Compliance, Bias and Discrimination, Privacy and Data Protection


Artificial Intelligence (AI) has become a transformative force in Human Resource Management (HRM), enhancing recruitment, training, performance evaluation, and employee engagement. This paper examines the ethical and legal challenges associated with the integration of AI in HRM. Key ethical concerns include bias and discrimination, privacy and data protection, transparency and explainability, and the impact on job security and automation. Legal challenges revolve around compliance with data protection laws, anti-discrimination regulations, and labor laws. This paper provides recommendations for addressing these challenges through a comprehensive analysis of real-world case studies and relevant data through policy development, best practices, and future research directions. The goal is to contribute to the responsible and ethical use of AI in HRM, ensuring that its benefits are maximized while mitigating potential risks.


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How to Cite

Du, J. (2024). Ethical and Legal Challenges of AI in Human Resource Management. Journal of Computing and Electronic Information Management, 13(2), 71-77.

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