The article discusses a new way to make sure machine learning algorithms are fair. Instead of relying on previous knowledge, the researchers created a new method called SCFF. This method uses data to create models that can correct unfair predictions based on sensitive information. Their experiments showed that SCFF can make fair predictions without sacrificing accuracy, outperforming other methods. This means that this new approach can help make machine learning more fair and accurate in various situations.