interdisciplinary voices in critical computing
Critical Tools for Machine Learning or CritML is a project that brings together critical intersectional feminist theory and machine learning systems design. The goal of the project is to provide ways to work with critical theoretical concepts that are rooted in intersectional feminist, anti-racist, post/de-colonial […]
This is the final part of a blogpost series reflecting on a workshop, held at FAccT conference 2020 in Barcelona, about machine learning and epistemic justice. If you are interested in the workshop concept and the theory behind it as well as what is a […]
This is part three of a blog post series reflecting on a workshop, held at FAccT conference 2020 in Barcelona, about machine learning and epistemic justice. If you are interested in the workshop concept and the theory behind it as well as what is a […]
This is part two of a blogpost series reflecting on a workshop, held at FAccT conference 2020 in Barcelona, about machine learning and epistemic justice. If you are interested in the workshop concept and the theory behind it, read our first article here. This post […]
By Aviva de Groot, Danny Lämmerhirt, Phillip Lücking, Goda Klumbyte, Evelyn Wan This is the first in a series of blog posts on experiences gathered during the planning, execution and reflection of our workshop “Lost in Translation: An Interactive Workshop Mapping Interdisciplinary Translations for Epistemic […]