A new MIT technique improves machine learning by removing key biased data points, boosting model performance for minority ...

Employing advanced machine learning techniques, the researchers not only identify the bias but also propose a novel hybrid model to bridge the gap created by increased decision noise in online ...

Machine-learning models can fail when they try to make predictions for individuals who were underrepresented in the datasets ...

Frustrated by the many documented cases of data driven bias against women, machine learning design researcher and artist Caroline Sinders commenced a social justice art project to work on a feminist ...