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All Journal Ascendia: Journal of Economic and Business Advancement
Syafa Azahra
Unknown Affiliation
Economics, Econometrics & Finance

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Revolusi Rekrutmen Berbasis AI: Antara Efisiensi dan Jebakan Bias Syafa Azahra; Maiza Fikri
Journal of Economic and Business Advancement Vol. 1 No. 4 (2026): June: Ascendia: Journal of Economic and Business Advancement
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/stye4p40

Abstract

The digital transformation of recruitment has significantly reshaped human resource management by accelerating hiring processes, standardizing candidate evaluation, and increasing organizational capacity to handle large applicant pools. Technology-driven recruitment systems offer notable efficiency gains through reduced recruitment time and operational costs while supporting strategic workforce planning. Despite these advantages, the growing reliance on automated selection mechanisms raises concerns related to bias, fairness, and ethical accountability. Bias embedded in historical data and system design may unintentionally reproduce structural inequalities and influence both decision quality and applicant perceptions. This study adopts a qualitative literature-based approach to critically examine the dual role of technology in recruitment, focusing on the tension between efficiency and justice. The findings indicate that fair and effective recruitment requires strong governance frameworks, transparent data management, human oversight in decision-making, and enhanced digital literacy among human resource practitioners. Integrating efficiency with ethical responsibility is essential for sustaining organizational competitiveness, trust, and legitimacy in an increasingly digital labor market.  
Co-Authors Maiza Fikri