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 […]
Based on their commitment to diversity, equity and inclusion in computing, the Association of Computing Machinery has put forward a list of considerations to forming diverse teams. This list includes inherent characteristics such as race and ethnicity, gender identity and disability, as well as acquired […]
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, […]
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, […]
When thinking of computer science – what images pop into one’s head and what can those images tell us about the discipline as well as interconnected societal expectations and norms? In this short post we report on our research into gendered codings of computer science. […]
I have recently visited my first academic conference – the closing event of a project titled “Shaping AI” – and on the train journey back, after two days of presentations, soaking up knowledge, attempts at networking, and questions-turning-monologues, I left with one question: “Can this […]