Algorithms and artificial intelligence are playing an increasing role in public decision making. In this video, PASCAL LANGENBACH analyzes the ways in which this aspect of digitalization affects perceptions of fairness. Looking at the contexts of predictive policing, school admissions and refugee location, Langenbach examines four different procedural models ranging from situations where human actors decide alone to scenarios in which human actors are not able to overturn decisions presented by the algorithm. The findings show that people perceive the fairest model as one in which humans come to a decision together with an algorithm, but remain highly involved in the decision-process. The research shows that computerization can help to bring about cost savings in public decision making but further studies are required to show how this can work more efficiently in practice.