Researchers reduce bias in AI models while preserving or improving accuracy
Machine-learning models can fail when they try to make predictions for individuals who were underrepresented in the datasets they were trained on. For instance, a model that predicts the best treatment option for someone with a chronic disease may be trained using a dataset that contains mostly male patients. That model might make incorrect predictions […]
Researchers reduce bias in AI models while preserving or improving accuracy Read More »