Local Data Debiasing for Fairness Based on Generative Adversarial Training
Local Data Debiasing for Fairness Based on Generative Adversarial Training
The widespread use of automated decision processes in many areas of our society raises serious ethical issues with respect to the fairness of the process and the possible resulting discrimination. To solve this issue, we propose a novel adversarial training approach called GANSan for learning a sanitizer whose objective is …