Fairlearn is an open-source Python package that helps machine learning practitioners assess and improve the fairness of their models. With Fairlearn, you can identify and mitigate sources of unfairness in your training data and model predictions, allowing you to create more equitable and unbiased models. Fairlearn provides several algorithms and metrics for assessing and mitigating bias, as well as visualization tools for exploring fairness in your data. By integrating Fairlearn into your machine learning workflow, you can promote fairness and social responsibility in your model development.
As we enter an era where intelligent systems are increasingly relied upon to make key decisions, responsible AI has become more critical than ever before. It’s not enough to simply rely on data-driven decision-making; we must also ensure that these systems are fair and just. But how can we do this when the same bias … Read more
