In this episode Karl and Johanna interview John Zerilli, a Leverhulme Fellow at the University of Oxford. Together, they discuss what explainable AI is and how different types of AI can be more or less transparent. Further, they discuss how machine learning models might be used for measurement just as they are used for prediction and explanation