At many banks, insurance companies and online retailers, self-learning computer algorithms are used to make decisions that have major consequences for customers. However, just how algorithms in artificial intelligence (AI) represent and process their input data internally is largely unknown. Researchers at the Pattern Recognition Lab and the Cognitive Computational Neuroscience Group at FAU and the Neuroscience Laboratory at the Department of Otorhinolaryngology – Head and Neck Surgery at Universitätsklinikum Erlangen, the Aix-Marseille Université in Marseille, France, and York University in Toronto, Canada, examined the problem of ‘black boxes’ in artificial intelligence and developed a method that makes these processes visible.