Abstract
MILD is an agentic architecture for safer human-vehicle collaboration. It combines shared in-cabin and road-scene perception with an explainable strategy agent, retrieval of regulations and driver preferences, and constraint-aware policy optimization to improve alignment between drivers and automated systems.