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, […]
Tag: AI
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, […]
Lost in translation? Invitation to address the challenges of interdisciplinary cooperation in the FAT community
This post was originally published on Medium on 11 December 2019 and was written by Aviva de Groot, Danny Lämmerhirt, Evelyn Wan, Goda Klumbyte, Mara Paun, Phillip Lücking, and Shazade Jameson Introduction: The short of it The rapid deployment of complex computational, data-intense infrastructures profoundly […]