Algorithms and global diversity management

Olivia Kyriakidou

Chapter 11 in Research Handbook on Global Diversity Management, 2025, pp 148-163 from Edward Elgar Publishing

Abstract: AI-enabled decision-making has become increasingly pervasive within the field of Human Resource Management. The main rationale behind the adoption of AI-enabled decision-making is multifaceted, including economizing on time and costs, mitigating risks, increasing effectiveness, and amplifying decision-making confidence. However, relying exclusively on algorithmic decision-making engenders the prospect of discrimination and inequity. This dichotomy between the enthusiasm surrounding the efficiency of AI decision-making and the apprehensions regarding potential discrimination and inequity presents an intricate challenge. The aim of the chapter therefore is to increase awareness regarding AI’s potential proclivity towards biases and discrimination but also elucidate strategies whereby practitioners and scholars specializing in EDI can contribute to the confrontation of challenges that are inherently associated with AI in HRM and the amelioration of workplace environments.

Keywords: Business and Management; Economics and Finance; Sustainable Development Goals (search for similar items in EconPapers)
Date: 2025
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