Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Áreas Curriculares - Nuevas Tecnologías, Educación y Género | Artículo - Trabajo monográfico | Adam Kalai, James Zou James Zou, Kai-Wei Chang, Tolga Bolukbasi, Venkatesh Saligrama | Boston UniversityThe blind application of machine learning runs the risk of amplifying biases present in data. Such a danger is facing us with word embedding, a popular framework to represent text data as vectors which has been used in many machine learning and natural language processing tasks. We show that even word embeddings trained on Google …