Machine-learning models offer insights into how putting women in leadership positions affects gender stereotypes in the workplace.

A new study in PLOS ONE used machine learning to analyze temperament data on 4,438 babies in an attempt to classify the infants by gender and age.

Written words are ultimately used to train machine learning systems. When we train our models using biased data, it gets incorporated into our models, which preserves and confirms existing biases.