Comics are a uniquely compelling visual storytelling medium, blending images and text, but they present significant challenges for Artificial Intelligence. Unlike natural images, comics rely on abstract, stylized panels and implicit transitions that demand complex inference, causing even state-of-the-art vision-language models to struggle with tasks like panel sequencing and cross-panel reasoning. This workshop brings together researchers from computer vision, cognitive science, and multimedia analysis to advance AI-driven comic understanding. Through talks and discussions, we will explore new methodologies for multimodal reasoning.