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 […]
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, […]
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.