ML Fairness Gym

ML Fairness Gym is a tool designed to test and improve the fairness of machine learning models. It provides a simulation environment where developers can evaluate how their algorithms perform across different groups—like different ages, genders, or backgrounds—and identify biases or unfair outcomes. By experimenting with various settings and datasets, users can better understand and mitigate potential fairness issues before deploying models in real-world scenarios, promoting more equitable and trustworthy AI systems.