This project investigates the modal features of artificial intelligence (AI) systems. These features are unexplored, yet instantiated in current AI practices. For example, some machine learning models 1) allegedly help to provide how-possibly explanations of phenomena, 2) are trained on synthetic (non-actual) data, or 3) aim to provide feasible explanations.