This research space focuses on the rise of the ‘black box’ society in the last decade. By observing many examples of the expected input/output behaviour, often algorithms’ internal reasoning is obscure even for their own developers. The research space assesses black box AI systems for automated decision making, which are often based on machine learning trained with big data and which map out user features into a class predicting his or her behavioural traits.