no code implementations • WS 2019 • Nazia Attari, Martin Heckmann, David Schlangen
Despite recent attempts in the field of explainable AI to go beyond black box prediction models, typically already the training data for supervised machine learning is collected in a manner that treats the annotator as a {``}black box{''}, the internal workings of which remains unobserved.
