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Ensuring Fairness in Machine Learning Through Adversarial Techniques
This chapter explores how to enhance fairness in machine learning by utilizing adversarial methods to reduce the impact of sensitive attributes on predictions. It also investigates the role of Generative Adversarial Networks in evaluating equitable treatment through data transformation.