AI-Driven Human Resource Management: Opportunities, Challenges, and Ethical Considerations

Main Article Content

Valentina López
Juan Carlos Peralta

Abstract

The integration of artificial intelligence (AI) in Human Resource Management (HRM) has dramatically redefined the way organizations manage human capital. AI technologies are being utilized to optimize key HR functions such as recruitment, talent management, employee engagement, and decision-making, leading to increased efficiency, scalability, and personalization. The deployment of AI systems provides opportunities for enhanced decision-making through data-driven insights, ultimately contributing to the strategic objectives of organizations. However, the implementation of AI in HR is also fraught with several challenges, including algorithmic biases, ethical concerns, and data privacy risks. These challenges bring forth critical ethical considerations that organizations must address to ensure fairness, transparency, and accountability. This paper explores the opportunities, challenges, and ethical implications of adopting AI-driven HRM. The article provides a comprehensive examination of AI’s impact on HR functions, potential ethical dilemmas, and strategic recommendations for sustainable AI adoption in the workplace.

Article Details

How to Cite
Valentina López, & Juan Carlos Peralta. (2023). AI-Driven Human Resource Management: Opportunities, Challenges, and Ethical Considerations. Journal of Contemporary Healthcare Analytics, 7(1), 184–199. Retrieved from https://publications.dlpress.org/index.php/jcha/article/view/133
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Articles
Author Biographies

Valentina López, Department of Computer Science, Universidad Politécnica de Oriente

 

 

 

Juan Carlos Peralta, Department of Computer Science, Universidad del Pacífico Colombiano