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This article provides a comprehensive examination of Artificial Intelligence (AI)-driven Talent Management Systems (TMS), exploring the potential benefits and inherent risks associated with their adoption in organizational settings. The emergence of AI in talent management signifies a transformative approach to human capital management, promising increased efficiency, enhanced decision-making, and valuable data-driven insights. However, this technological integration is fraught with challenges, including ethical considerations, potential biases in AI algorithms, and privacy concerns. This paper presents a critical analysis of AI-driven TMS, emphasizing the need for sustainable strategies that prioritize fairness, transparency, and employee well-being. Drawing on various case studies and empirical data, we propose a strategic framework for organizations to harness the power of AI while mitigating risks, thereby achieving sustainable success in talent management.
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Lourens et al. (2024) studied this question.
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