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Transparency and XAI in AI-Assisted Management Decisions

Transparency and XAI in AI-Assisted Management Decisions
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Author(s): Priya Kadyan (Chandigarh University, India)and Rohan Singh (Chandigarh University, India)
Copyright: 2026
Pages: 44
Source title: Transparency in AI-Assisted Management Decisions
Source Author(s)/Editor(s): Abdelfattah Jamal (Cadi Ayyad University, Morocco), Karima Aissaoui (Mohammed First University, Morocco), Lhoussaine Alla (Sidi Mohamed Ben Abdellah University, Morocco), Bouchra Alj (Hassan II University, Morocco)and Badr Bentalha (Sidi Mohammed Ben Abdellah University, Morocco)
DOI: 10.4018/979-8-3373-1737-3.ch001

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Abstract

Artificial Intelligence (AI) in Human Resource Management (HRM) is helping in revolutionizing decision-making process from recruitment till development of employee. Since AI assisted HRM decisions lack transparency, they raise concern of fairness, accountability and trust. In this chapter we look at how Explainable AI (XAI) can add to the transparency found with AI driven HRM practices. It presents how XAI can alleviate the bias, ethics compliance, and organizational trust. The chapter also describes the tradeoffs between getting transparent and how well AI works, and looks at regulatory frameworks and best practices to strike a balance between fairness and efficiency. To impart a roadmap of implementing transparent and explainable AI systems within HRM, this chapter sheds light on interdisciplinary insights from HRM, AI ethics and organizational studies.

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