Advances in AI: Recent advances in AI, particularly in areas such as deep learning, have revolutionized the capabilities of interactive systems, such as image recognition and natural language processing, and content generation across text, images, audio, and video. At the heart of this is a mix of learning methods that combine basic models and simulation and informed learning. Furthermore, practical aspects are addressed, including the deployment and continuous learning of AI-based systems. Human-Computer Interaction: How to shape interaction with AI-infused systems has opened new horizons in HCI research and practice. From conversational user interfaces (CUIs) such as voice-controlled assistants and generative AI systems using large language models to avatars in virtual and augmented reality, the way we interact with digital systems is changing radically. These technologies hold the promise of more intuitive and accessible interfaces for a more inclusive digital world, but they also carry the potential for a future filled with frustrating, biased, and inhuman systems that surround us if we don’t pay attention to interaction design. Social impact and ethics: Allowing AI systems to enter our lives has profound implications for society at large. Technologists can no longer produce and launch products without considering the impact of these systems on users and society. Industry demand and skills gap: Industry demand for professionals with expertise in both AI and HCI is rapidly increasing. However, there is a significant gap between the skills needed and the expertise available in the workforce. This program aims to close this gap by providing students with both the technical and methodological knowledge, skills, and competence to work at the intersection of AI and HCI and help shape the desired future of living with intelligent interactive systems. It combines a strong academic university education with practical laboratories at participating Fraunhofer institutes.