Trustworthiness is a key prerequisite for the economic success, efficiency, and long-term sustainability of artificial intelligence. This is precisely where the topic of Trusted AI comes in: it refers to artificial intelligence that is transparent, traceable, secure, robust, and fair – and is guided by ethical values and legal frameworks.

The German Research Center for Artificial Intelligence (DFKI) takes a holistic approach to developing trustworthy, secure, and ethically responsible AI – from basic research and application-oriented development to the implementation of effective AI governance structures. The aim is to close identified research gaps and create a common European framework for guarantees, certifications, and standards. These are intended to ensure security, fairness, robustness, and effective human oversight of AI systems. Through close cooperation among science, industry, and public administration, DFKI systematically translates existing findings into practice and promotes dialogue with political and civil society actors to strengthen trust in AI in the long term.

Trusted AI at DFKI spans the entire life cycle of AI systems: from data collection, modeling, and training to deployment, maintenance, and continuous development. Research focuses on explainability and transparency of AI decisions, protection of systems against manipulation, and the avoidance of bias and discrimination. Legal, ethical, and social issues are addressed and researched in an interdisciplinary manner from the outset.

Close cooperation with industry, politics, and civil society is particularly important in this context. In numerous national and international projects, DFKI contributes to transferring trustworthy AI from research into real-world applications – for example, in medicine, industry, mobility, and public administration. In this way, DFKI makes a significant contribution to Europe's digital sovereignty and to strengthening a responsible, human-centered AI ecosystem.

At the Hannover Messe, DFKI demonstrates the fundamental relevance of Trusted AI across technology and domain boundaries: in the use of robotic AI in natural environments and virtual reality, in human-robot collaboration and object detection, in checking the regulatory compliance of AI systems in small and medium-sized enterprises, in analyzing the legal compliance of contracts, in developing robust sensory systems, in decision support systems for semi-autonomous navigation, and in the use of AI in industrial process planning and process modeling with large language models – always with a focus on traceability, security, and trust.

Health is one of the key issues facing our society in the future. Demographic change, a shortage of skilled workers, rising costs, and the demand for personalized medicine pose major challenges for healthcare systems worldwide. Artificial intelligence offers enormous potential here – provided it is used responsibly, reliably, and in a practical way.

At the German Research Center for Artificial Intelligence, Health AI stands for this claim: excellent AI research with measurable benefits for medicine, nursing, and care. DFKI combines state-of-the-art AI methods with concrete applications across the entire spectrum of healthcare – from prevention and diagnostics to therapy and rehabilitation to care processes and assistance systems.

Health AI at DFKI is not an isolated field of research but a cross-location, cross-disciplinary theme. Robotics, machine learning, medical image and signal processing, data and knowledge systems, and explainable and trustworthy AI are intertwined. This cross-disciplinary approach enables solutions that are not only technologically powerful but also applicable in everyday clinical and organizational practice.

There is a particular focus on human-centered AI. Health AI at DFKI supports medical professionals, relieves the burden on healthcare systems, and empowers patients – without replacing human responsibility. Transparency, security, data protection, and traceability are not additional requirements but integral to the research. Especially in the sensitive healthcare sector, trust is the basis for the acceptance and sustainable use of AI.

At the Hannover Messe, DFKI will demonstrate how Health AI works in practice: in intelligent assistance systems for rehabilitation and care, in AI-supported diagnostics and personalized medicine, in data-based decision-making and care processes, and in solutions for the safe and trustworthy use of medical AI. Together with partners from industry, healthcare, and research, these innovations are enabling the transfer of AI from the laboratory to real-world care.

Health AI exemplifies DFKI's self-image: not only researching AI but also making it effective where it delivers immediate social value. At the Hannover Messe, DFKI is presenting Health AI as a key technology for efficient, resilient, and sustainable healthcare – today and tomorrow.