As we use digital, interconnected applications and services today, AI permeates many areas of our lives. Rule-based AI, machine learning, and the generative creation of text and audiovisual media have become part of everyday life. In science and technological development, AI has long been an established tool for analyzing, optimizing, and controlling systems using digital twins. AI-based simulations allow for the testing of safety-critical scenarios across every conceivable aspect—even before, for instance, vehicle control systems are evaluated in real-world traffic situations. Through its "Digital Mobility" research initiative, ThIMo focuses on this trend, leveraging specialized expertise to support and connect researchers applying AI within ThIMo’s fields of study. This enables the faster conceptualization and targeted implementation of AI approaches in key areas and cross-cutting topics, such as automated driving. Concrete examples include analyzing test drives to assess operational environments, employing data-based methods to evaluate the reliability of sensor-based environmental perception and modeling, and addressing safety aspects related to control algorithms for automated vehicles.