Human-AI Teaming

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.

Training Modules

Module 1: Introduction to Generative AI and Human-AI Teaming

Unit 1: Fundamentals of GenAI

  • Overview of generative AI and its functionality
  • Use cases in business contexts
  • Opportunities and challenges in working with GenAI

Unit 2: Human-AI Teaming

  • What is Human-AI Teaming?
  • Role models, interaction types, and collaboration levels
  • Designing human-centered collaboration

Module 2: Quality According to ISO 9241-11: Effectiveness, Efficiency, Satisfaction

Unit 3: Usability Fundamentals and Quality in AI-Supported Interactions

  • Introduction to ISO 9241-11: Usability definition and relevant quality criteria
  • Discussion of effectiveness, efficiency, and user satisfaction in generative systems
  • Typical barriers in GenAI (e.g., missing context, lack of traceability, overconfidence)

Unit 4: Ensuring Quality – Evaluation, Feedback & Continuous Improvement

  • Methods for assessing GenAI quality through user input (Likert scale, prompt reflection, interviews)
  • User involvement in quality evaluation and system improvement
  • Tools and dashboards for feedback and system monitoring

Module 3: Applying Standards for Contextual AI

Unit 5: Context of Use and Needs Analysis

  • Methods for identifying the usage context (e.g., context scenarios, task analysis, shadowing)
  • Application to GenAI systems: What does "contextual AI" mean in organizations?
  • Needs assessment and user involvement as foundations for successful implementation

Unit 6: Designing and Implementing According to ISO 9241

  • Translating normative requirements into GenAI interfaces
  • Deriving design principles for human-AI interfaces
  • Focus on ergonomics, clarity, dialogue, feedback, and error tolerance

Module 4: Prototyping and Practical Exercises

Unit 7: Practice Workshop – Prototyping a Human-AI Teaming Scenario

  • Design of a Human-AI workflow in group work
  • Use of the Human-AI Teaming Canvas for role clarification and interaction planning
  • Development of a prototype

Module 5: Maturity & Integration of Usability, UX, and HAIT into Product Development

Unit 8: UX Maturity and Organizational Learning

  • Overview of UX and usability maturity models (e.g., Fraunhofer FIT, ISO/TR 18529)
  • Self-assessment: Maturity level of your product development process for usability, UX, and HAIT
  • Organizational patterns: reactive vs. strategically embedded UX

Unit 9: Assessing & Advancing Organizational Processes

  • Organizational analysis using assessment components (e.g., context understanding, stakeholder integration, iteration, documentation, UX roles)
  • Identifying gaps and opportunities: Where is UX knowledge lacking? What structural barriers exist?
  • Developing a target vision: What is the next appropriate maturity level for your organization?
  • Practice: Mini self-assessment with questions from the FIT consulting approach