Messy Concepts: How to Navigate the Field of XAI?

Entering the field of explainable artificial intelligence (XAI) entails encountering different terms that the field is based on. Numerous concepts are mentioned in articles, talks and conferences and it is crucial for researchers to familiarize themselves with them. To mention some, there’s explainability, interpretability, understandability, […]

Impressions from “Shaping AI”: Controversies and Closure in Media, Policy, and Research

On January 29th and 30th 2024, a small but international group of scholars, civil society representatives, and practitioners came together at the Berlin Social Science Center to discuss the controversies, imaginaries, developments, and policy solutions surrounding AI under the name “Shifting AI Controversies – Prompts, […]

Bayesian Knowledge: Situated and Pluriversal Perspectives

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 […]

critML: Critical Tools for Machine Learning that Bring Together Intersectional Feminist Scholarship and Systems Design

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 […]

Booklet documentation of the “Methods, Theories, and Taking Action Through Gender and Feminisms in Human-Computer Interaction” event series

The workshop series on “Methods, Theories, and Taking Action through Gender and Feminisms in Human Computer Interaction” was documented in a booklet.