Human-AI Teaming

Human-AI Teaming: Working together to create added value

Human-AI Teaming (HAIT) is based on the premise that Generative Artificial Intelligence (GenAI) is more than just a tool. It acts like a dynamic partner – an agent that independently analyzes, learns and develops suggestions instead of just reacting to commands. The aim of Human-AI Teaming is to create a synergetic collaboration to ensure that humans and GenAI do not work alongside each other, but with each other, ideally complementing their respective strengths.

During our Fraunhofer-certified »Human-AI Teaming« training, you will learn how to design GenAI systems to work seamlessly with humans to maximize efficiency, trust and usability. Since GenAI systems adapt, learn and evolve through interactions with users, we place particular emphasis on an innovative approach to design, implementation and integration.

Learn how to bridge the gap between technological advances and user-centered applications. Success in the introduction of GenAI systems requires the creation of environments in which users feel empowered to interact with GenAI in a meaningful and productive way. This includes, for example, designing intuitive user interfaces, reducing cognitive load and creating transparent and trustworthy systems.

During the training, participants will gain:

• technical and user-centered knowledge in the company-relevant application areas of GenAI, taking into account DIN EN ISO 9241 (ergonomics of human-system interaction) and the German Workplace Ordinance.
• knowledge of the implementation of ergonomic design and interaction principles in the context of Human-AI Teaming.
• technical knowledge and basic skills in the context of interaction, e.g. in prompt engineering, for the efficient use of GenAI systems.
• a basic understanding of user experience and the design of GenAI (e.g. through CustomGPTs and GPT Marketplaces).

The key aspects of Human-AI Teaming:

Optimizing interaction and collaboration:
GenAI systems should be designed to complement, not replace human expertise and specifically address the needs of users. HAIT provides relevant insights and can reduce the complexity of decision-making processes.

Facilitate implementation through user-centered design:
The adoption of GenAI technologies is often met with resistance due to a lack of understanding, trust or a perceived irrelevance. HAIT addresses these challenges by using user-centered methods such as workshops or co-creation right from the start.

Sustainable implementation and growth:
GenAI systems need to be integrated into existing workflows in a way that is both effective and sustainable. Our certificate provides a framework for training users, defining best practice and continuously developing systems.