Human-AI Teaming: Creating Value Together
Human-AI Teaming understands Generative Artificial Intelligence (GenAI) not merely as a tool, but as a dynamic team partner – a system that analyzes, learns, develops suggestions, and collaborates interactively with humans. It aims for synergistic collaboration in which human expertise and AI support reinforce each other.
In our professional training program to become a Fraunhofer-certified »Human-AI Teaming« expert, you will acquire the necessary knowledge and methodological tools to design GenAI systems in a human-centered, effective, and future-proof manner. The focus is not only on technology and interfaces, but also on quality, contextual understanding, user involvement, and the organizational integration of UX expertise.
The training program has a modular structure and combines conceptual knowledge with practical application: from the basics of generative AI to usability and quality assessment to prototypical implementation and strategic anchoring in the product development process.
Upon completion, participants will have:
- the ability to develop usable, transparent, and controllable AI interactions
- in-depth knowledge of the design and implementation of GenAI in accordance with DIN EN ISO 9241 and the EU AI Act
- the expertise to integrate UX principles into processes, roles, and structures
- practical experience in prototyping human-AI scenarios using the Human-AI Teaming Canvas
Why Human-AI Teaming?
GenAI only unleashes its potential when technical performance is combined with human comprehensibility and responsibility. Human-AI Teaming provides the basis – from the idea to organizational implementation.
Optimization of interaction and collaboration:
GenAI systems must be designed to complement, not replace, human expertise and be tailored to the needs of users. Our training provides actionable insights and can reduce the complexity of decision-making processes.
Facilitating adoption through user-centered design:
The introduction of GenAI technologies often encounters resistance due to a lack of understanding, trust, or perceived irrelevance. We address these challenges by using user-centered methods such as workshops or co-creation from the outset.
Sustainable implementation and growth:
GenAI systems must be integrated into existing workflows in a way that is both effective and sustainable. Our certificate provides a framework for user training, the definition of best practices, and the continuous development of systems.