In algorithmic decision environments, humans make decisions based on information that has been personalized for them using algorithms (e.g. scoring values, social networks). Based on their features, how do algorithmic decision environments (1) affect decision making, understanding, and memory, (2) what kind of presentation enables an informed use, and (3) which competencies are required for a controlled interaction with an algorithmic decision environment? We investigate psychological prerequisites for citizens to be able to control algorithmic decision environments individually or through regulation.
