This special issue examines how artificial intelligence and related technologies reshape human resource management practices and organizational work. Building on decades of e-HRM research, the collection investigates AI's transformative potential while remaining critical of its limitations, including bias, lack of transparency, and skill erosion concerns.
The issue welcomes research exploring which HRM processes should be automated versus augmented, what alternative technologies might complement or replace AI, and what comes after the current wave of AI advancement. It seeks evidence-based scholarship that helps organizations implement AI to benefit all stakeholders while avoiding technological determinism.