Reciprocity in the Age of Algorithms: How AI Transparency and Fairness Drive Engagement and Autonomy

Rayane Elidrissi () and Kevin Sevag Kertechian
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Rayane Elidrissi: LAB IAE Paris - Sorbonne - IAE Paris - Sorbonne Business School
Kevin Sevag Kertechian: ESSCA - ESSCA – École supérieure des sciences commerciales d'Angers = ESSCA Business School

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Abstract: Emma trusted her HR department until an AI-based decision-support tool in HRM decided, without explanation, not to promote her. Was it fair? As AI-driven HR tools increasingly shape careers, their transparency and fairness are becoming crucial. We explore their impact on workplace behaviour. Using social exchange theory mediated by AI (SET-AI), we investigate the extent to which AI functions as an exchange partner that affects employee engagement and autonomy. We surveyed 300 employees who were subject to AI-based HR decisions, specifically how they perceived transparency and fairness in AI-driven HR tools, and how these perceptions shaped their autonomy and engagement. Our findings show that transparency and fairness in AI governance play a critical role in fostering employee autonomy and engagement. We thus recommend that organizations implement mechanisms to ensure explainability and fairness in the use of AI-driven tools. Future researchers should explore the long-term effects of AI transparency and fairness on employee behaviour across various industries to deepen understanding of AI's evolving role in organizations.

Date: 2025-06-19
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Published in Relations Industrielles / Industrial Relations, 2025, 80 (4), ⟨10.7202/1126110ar⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05748656

DOI: 10.7202/1126110ar

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