S. Ağan

A THREE-STAGE FAIRNESS-AWARE FRAMEWORK FOR RISK ASSESSMENT IN SOCIAL WORK: BALANCING ACCURACY AND EQUITY IN PREDICTIVE MODELS

This study addresses the critical trade-off between predictive accuracy and algorithmic fairness and proposes a “Three-Stage Fairness-Aware Framework” integrating pre-processing, in-processing, and post-processing mitigation strategies that successfully reduced bias to ethical thresholds.