A Multi-Stage Framework for Bias Detection and Mitigation in AI-Driven Recruitment Systems
An integrated framework for bias detection and mitigation in AI-driven recruitment systems, combining interventions at the data, model, and decision levels within a unified evaluation pipeline is introduced, demonstrating that bias in recruitment systems arises from the interplay between data and model dynamics.