Human AI

In the field of HUMAN AI, we focus on developing human-centered AI innovations that combine technological excellence with social responsibility. We deliberately go beyond purely algorithmic solutions and place people—with their needs, abilities, and values—at the center of AI development. Through our interdisciplinary approach, we combine technological innovation with psychological insights, ethical principles, and systematic user involvement.

Our expertise includes methodological and statistical modeling techniques for systematically extracting insights from complex data. Through acceptance studies, evaluations, and advanced statistical analysis methods, we create evidence-based foundations for decision-making processes. This scientifically sound approach enables us to precisely analyze user behavior, measure implementation success, and steer continuous improvement processes based on data.

What we research:

Health of the future: Our healthcare system is facing major challenges due to demographics and a shortage of skilled workers. Our AI solutions are human-centered and support the system holistically. In collaboration with medical institutions and technology partners, we develop innovative, needs-based solutions, for example in the areas of preventive medicine, clinical decision support, digital care and administrative optimization.
Work of the future: Companies are facing the challenge of remaining competitive in an increasingly digitalized world. The integration of AI into everyday working life offers enormous opportunities to both increase efficiency and develop new skills. With our human-centered development approach, we work with SMEs and technology partners to design practical and directly applicable AI solutions and support successful change and innovation management.
Democratization of AI: AI is a complex technology that is developing rapidly. At the same time, many people feel left behind by the rapid pace of technological change. Bridging this digital divide is not only a technical challenge, but above all a social one. Our aim is to break down barriers and democratize AI technologies, e.g. by developing intuitive low-code/no-code AI tools, practice-oriented training or AI real-world laboratories.

Whether in healthcare, in the world of work or in the democratization of AI - our goal is to design innovative technologies in such a way that they effectively support people and leave no one behind.

Domain and industry focus

Human AI, XAI, Healthcare, Future of work

Research focus

Service Innovation

We develop data-driven and people-oriented services and business models by combining user-oriented methods and processes with technological knowledge: For a sustainable transformation from product- to service-oriented organizations!

The research focus

Human AI: Developing human-centered AI

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Our expertise

Our expertise	Your challenges
Durch die Kombination verschiedenen Expertisen können wir die Entwicklung ganzheitlicher Lösungen unterstützen, die den Menschen in den Mittelpunkt stellen. Wir setzen dabei auf quantitative und qualitative Forschungsmethoden, Experimentaldesign, statistische Analyse sowie nutzerzentrierte Evaluationsmethoden: AI & User Centered Design We carry out holistic requirements analyses and involve users in the entire development process - from iterative prototype development to testing in real application contexts. This enables us to gain in-depth user insights that can be used to create accessible, inclusive and accepted AI interfaces. AI & Human Factors We integrate user behavior and psychological factors into predictive models and support the development of adaptive AI systems based on individual user interaction. We take into account different age and competence groups and develop XAI components for transparent decisions. Through an evidence-based evaluation of human-AI interaction with a focus on user acceptance as well as an ethically reflected and human-centered implementation, we support successful change management. Data Science & Analytics We develop precise predictive models that take human factors into account and use advanced data analysis to identify behavioral patterns. By integrating heterogeneous data sources, we create robust statistical models and offer data-driven decision support for process optimization.	Strategic AI integration: What are the right use cases for AI? What does a sustainable data strategy look like? How can AI be used to tap into innovation potential and secure competitive advantages? How can bad investments due to a lack of user acceptance be avoided? People & organization: How can it be ensured that u AI solutions are accepted by all employees? How do you design the change process and build skills for the use of AI? How can an innovation-friendly corporate culture be created? Data & compliance: How can transparency and traceability of AI decisions be guaranteed? How can AI systems be integrated in compliance with data protection regulations? How can a balance be struck between data protection and innovation? Technology & implementation: How can AI solutions be integrated into existing processes and how can the success of this integration be measured and optimized?

Your challenges

Durch die Kombination verschiedenen Expertisen können wir die Entwicklung ganzheitlicher Lösungen unterstützen, die den Menschen in den Mittelpunkt stellen. Wir setzen dabei auf quantitative und qualitative Forschungsmethoden, Experimentaldesign, statistische Analyse sowie nutzerzentrierte Evaluationsmethoden:

AI & User Centered Design
We carry out holistic requirements analyses and involve users in the entire development process - from iterative prototype development to testing in real application contexts. This enables us to gain in-depth user insights that can be used to create accessible, inclusive and accepted AI interfaces.
AI & Human Factors
We integrate user behavior and psychological factors into predictive models and support the development of adaptive AI systems based on individual user interaction. We take into account different age and competence groups and develop XAI components for transparent decisions. Through an evidence-based evaluation of human-AI interaction with a focus on user acceptance as well as an ethically reflected and human-centered implementation, we support successful change management.
Data Science & Analytics
We develop precise predictive models that take human factors into account and use advanced data analysis to identify behavioral patterns. By integrating heterogeneous data sources, we create robust statistical models and offer data-driven decision support for process optimization.

Strategic AI integration: What are the right use cases for AI? What does a sustainable data strategy look like? How can AI be used to tap into innovation potential and secure competitive advantages? How can bad investments due to a lack of user acceptance be avoided?
People & organization: How can it be ensured that u AI solutions are accepted by all employees? How do you design the change process and build skills for the use of AI? How can an innovation-friendly corporate culture be created?
Data & compliance: How can transparency and traceability of AI decisions be guaranteed? How can AI systems be integrated in compliance with data protection regulations? How can a balance be struck between data protection and innovation?
Technology & implementation: How can AI solutions be integrated into existing processes and how can the success of this integration be measured and optimized?