Fraunhofer Institute for Applied Information Technology FIT
Fraunhofer Institute for Applied Information Technology FIT
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Stronger Together: Human Expertise Meets Generative Intelligence

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Human-AI Teaming

Human-AI Teaming: Creating Value Together

Human-AI Teaming (HAIT) views Generative Artificial Intelligence (GenAI) not merely as a tool, but as a dynamic team partner—a system that analyzes, learns, proposes solutions, and collaborates interactively with humans. The goal is a synergistic cooperation where human expertise and AI support mutually reinforce one another.

In our Fraunhofer-certified training program "Human-AI Teaming", participants acquire the necessary knowledge and methodological tools to design GenAI systems that are human-centered, effective, and future-ready. The focus extends beyond technology and interfaces to also include quality, contextual understanding, user involvement, and the organizational embedding of UX expertise.

The training is modular in structure and combines conceptual knowledge with practical application—from the fundamentals of generative AI and usability evaluation to prototyping and strategic integration into product development.

Upon completion, participants will have:

  • In-depth knowledge of designing and implementing GenAI systems aligned with DIN EN ISO 9241 and the EU AI Act
  • The ability to create usable, transparent, and controllable AI interactions
  • Know-how to embed UX principles into processes, roles, and structures
  • Practical experience in prototyping Human-AI scenarios using the Human-AI Teaming Canvas

Why HAIT?
GenAI only achieves its potential when technical capabilities are combined with human comprehension and responsibility. Human-AI Teaming provides the foundation—from concept to organizational implementation.

Optimizing Interaction and Collaboration:
GenAI systems must be designed to complement, not replace, human expertise and be tailored to user needs. HAIT delivers actionable insights and helps reduce decision-making complexity.

Facilitating Adoption through User-Centered Design:
The introduction of GenAI technologies often faces resistance due to lack of understanding, trust, or perceived relevance. HAIT addresses these challenges from the outset using user-centered methods such as workshops and co-creation.

Sustainable Implementation and Growth:
GenAI systems must be integrated into workflows in a way that is both effective and sustainable. Our certification program provides a framework for user training, definition of best practices, and continuous system improvement.

 

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