Perpetuation of Gender Stereotypes

Training data bias impacts women in tech by reinforcing gender stereotypes. If machine learning models are trained on data that underrepresents women or presents them in stereotypical roles, these biases are amplified in technology applications, from job recommendation algorithms to voice recognition technologies, inadvertently perpetuating a cycle of bias against women.