Browsing Category: Fair

A new technique improves models’ ability to reduce bias even when the data set used to train the model is imbalanced. If a machine learning model is trained on an unbalanced dataset, which contains far more images of light-skinned people than darker-skinned people, for example, there is a serious risk that the model’s predictions will be unfair when deployed in the real world . But that’s only part of the problem.[{” attribute=””>MIT…