Fairness Criteria for Face Recognition Applications

Nowadays, machine learning algorithms play an important role in our daily lives and it is important to ensure their fairness and transparency. A number of methodologies for evaluating machine learning fairness have been introduced in the literature. In this research we propose a systematic confidence evaluation approach to measure fairness discrepancies of our deep learning architecture for image recognition using UTKFace database.