Modern machines are complex. They are so complex, in fact, that makers and operators of machines no longer understand them. Advanced machine learning and genetic algorithms are two examples of the techniques that are said to cause this (Matthias, 2004). This factor, some say, makes it unfair, unintuitive, or simply not right, to attribute responsibility for machine actions to machine makers or operators (Matthias, 2004). As emphasised by Tigard (2020), responsibility can entail attributability, accountability, or answerability. He employs a pluralistic account of moral responsibility and thus extends the analysis of the gaps beyond both law and questions of accountability. Accountability is the main focus of this article, as will become clear when the Hobbesian framework of representation is presented.