The Importance of UX for Machine Teaching

In this position paper, we argue that UX designers should take an increasing responsibility for the process and tools used in the generation of training data for machine learning algorithms. We provide a number of annotated examples from our UX practice within the medical imaging domain to highlight different ways that a UX approach can help to select training data set, facilitate initial generation and ensure that the final systems become self-sufficient on training data, so that the systems can efficiently improve performance over time.