In this "Perspective" we focus on active machine learning as a DoE technique for an experimentalist and how to popularize it. We identify three types of thresholds: the convincing of the experimental researcher, the flexibility of data creation, and the robustness of the active machine learning algorithms (Figure ). In the following sections we will discuss each of these challenges and how they can be overcome.