interdisciplinary voices in critical computing
EU guidelines on trustworthy AI posits that one of the key aspects of creating AI systems is accountability, the routes to which lead through, among other things, explainability and transparency of AI systems. While working on AI Forensics project, which positions accountability as a matter […]
November 9 & 10, 2023 09:00–12:30 BST / 10:00–13:30 CET / 04:00–07:30 ET / 20:00–23:30 AEDT Hybrid workshop (online + at Goldsmiths, London, UK) This workshop examines potential conceptual and practical correlations between Bayesian approaches, in statistics, data science, mathematics and other fields, and feminist […]
Explainable artificial intelligence (XAI) as a design perspective towards explainable AI can benefit from feminist perspectives. This post explores some dimensions of feminist approaches to explainability and human-centred explainable AI.
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 […]
Join a workshop “Critical Tools for Machine Learning” as part of CHItaly conference on July 11, 2021.
In what ways has animality, humanity and race been co-constitutive of each other? How do our understandings of being and materiality normalize humanity as white, and where does that leave the humanity of people of color? How can alternative conceptualizations of being human be found […]
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 […]
Are robots racist? Is visibility a trap? Are technofixes viable? What is social justice in the high-tech world? These questions are raised in Ruha Benjamin’s book Race After Technology (2019, Polity Press) that we will read during our TBD reading group spring session 2020. Race […]