AI – Driven HR Analytics and Employee Trust: Examining the Role of Transparency and Ethical Governance in Organization’s
TL;DR
The findings are expected to demonstrate that transparent AI processes and robust ethical governance mechanisms positively influence employee trust and acceptance of AI-supported HR practices and offer practical implications for organizations seeking to balance technological innovation with ethical responsibility and employee confidence in AI-driven HR systems.
Abstract
The growing integration of Artificial Intelligence (AI) in Human Resource (HR) analytics has transformed organizational decision-making processes, creating new opportunities for efficiency, accuracy, and strategic workforce management. However, the increasing reliance on AI-supported HR systems has also raised concerns regarding employee trust, transparency, and ethical governance. This study aims to analyse the influence of AI-driven HR analytics on employee trust within organizations, examine the role of transparency in shaping employee trust toward AI-supported HR decisionmaking, and evaluate the contribution of ethical governance practices in strengthening employee trust in AI-driven HR analytics. Grounded in HR Analytics Models, Trust Theory, the Organizational Trust Model of Mayer, Davis, and Schoorman, and Stakeholder Theory, the study adopts a quantitative research approach using primary data collected from employees across various organizations. The findings are expected to demonstrate that transparent AI processes and robust ethical governance mechanisms positively influence employee trust and acceptance of AI-supported HR practices. The study contributes to the growing literature on AI-enabled human resource management by highlighting the importance of responsible AI implementation and trust-building mechanisms. The findings offer practical implications for organizations seeking to balance technological innovation with ethical responsibility and employee confidence in AI-driven HR systems.