Generative artificial intelligence (AI) is a component of artificial intelligence that creates synthetic multi-modal output in the form of text, images, and audio. Multiple approaches have been implemented into teaching surface ECG interpretation. However, learner performance remains poor. Generative AI in the form of Generative Adversarial Networks (GANs) is a novel AI model that has the potential to augment trainee ECG interpretation via creation of synthetic ECGs and anatomical depiction of conduction defects. Generative AI may be implemented in medical education to customize trainee surface ECG interpretation to improve learning and retention.