Andreas Holzinger build a solid track record in machine learning/artificial intelligence & knowledge extraction for health informatics. Particularly, he has been working on integrated machine learning, which is manifested in Holzinger’s HCI-KDD approach. This is based on the idea of combining the best of the two worlds working towards understanding intelligence: Human–Computer Interaction (HCI), rooted in cognitive science, particularly dealing with human intelligence, and Knowledge Discovery/Data Mining (KDD), rooted in computer science, particularly dealing with artificial intelligence. Andreas has pioneered the interactive machine learning approach with the human-in-the-loop, which he proved with his glass-box approach. In light of raising legal and privacy issues in the European Union (General Data Protection Regulation, GDPR) in the future it will become important to make decisions transparent, understandable and retraceable and to explain why a machine decsion has been made – towards explainable artificial intelligence (explainable-ai).