As machine learning moves into real world application, solving data problems across science and industry, we must ask what it means to use machine learning well. Most problems do not occur as part of the algorithms, but as part of the systems that we build around the machine learning algorithms. PIK Professor Konrad Kording gives an overview of various problems that occur in that process and explores how to fix them.