De la théorie à l’action : Le big data et les épistémologies féministes. De nouvelles méthodes?

Abstract

The ever growing use of algorithmic and big data-based technologies in both academia and daily life has initiated an emerging critical literature on the social impact of these technologies and the way they are socially biased. Part of these works, from humanities and more recently computer science, draws on feminist epistemologies of knowledge to put into question the actual objectivity of automatic systems. This article details this critical research, relating literature from both fields. It describes the way feminist epistemologies circulate in computer science works on algorithmic bias. It delineates how some of these works embrace these theories to devise ways of operationalizing them, and  how they introduce new methods for data science.