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The Impact of Artificial Intelligence Bias on Human Resource Management Functions: Systematic Literature Review and Future Research Directions

Tuffaha, Mohand (2023) The Impact of Artificial Intelligence Bias on Human Resource Management Functions: Systematic Literature Review and Future Research Directions. European Journal of Business and Innovation Research, 11 (4). pp. 35-58. ISSN 2053-4019(Print), 2053-4027(Online)

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Abstract

Artificial intelligence (AI) has become a valuable tool for facilitating Human Resource Management (HRM) functions. Although, it should be noted that AI has a specific character side away from other technology. Publications covering this knowledge area have grown sharply, however the scholarly covering the impact of AI bias inHRM is scarce. This paper studies this area and goes deeper to explore the future research areas by conducting a systematic literature review for 598 papers from Scopes and Emerald insight databases of which 34 articles were selected after implementing the PRISMA tool and quality evaluation stage. Results generated revealed that biased AI applications are negatively affecting performance management, compensation, staffing and training and development. Apart from that future research domains and questions have been outlined and identified from organizations’ and employees’ perspectives.

Item Type: Article
Subjects: H Social Sciences > HA Statistics
Depositing User: Professor Mark T. Owen
Date Deposited: 12 Jul 2023 17:55
Last Modified: 12 Jul 2023 17:55
URI: https://tudr.org/id/eprint/1968

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