Ruwayda Hussain¹*, Dalli Vineetha Reddy² 03 06 The growing integration of artificial intelligence and algorithmic systems into Human Resource Management HRM has transformed organisational decisionmaking processes while simultaneously intensifying concerns surrounding fairness transparency and ethical accountability Although existing scholarship has extensively examined the operational benefits of algorithmic HRM comparatively limited attention has been devoted to understanding how organisations can balance algorithmic efficiency with humancentred equity in consequential employment decisions Addressing this gap the present study develops a conceptual characterisation of Algorithmic Human Resource Management through the integration of sociotechnical systems theory augmented decisionmaking theory and the algorithmic fairness literature Methodologically the study adopts an integrative literature review approach supplemented by comparative case analysis of three widely discussed organisational cases Amazons abandoned AI recruitment system Unilevers hybrid AIassisted hiring model and HireVues algorithmic video interview platform These cases are further contextualised through a theoretically constructed vignette designed to examine the limits of narrow algorithmic filtering and the continuing relevance of human evaluative judgment Through this multilayered analysis the paper investigates the governance structures required for effective humanAI integration in HRM and explores the broader tension between predictive efficiency and procedural equity Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026