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Human-centered AI

Empowering people through user-centered design

Integration of AI systems as an effective decision-making tool. Focus on human-machine interaction to increase acceptance and create sustainable value.

Human-centered AI: user-centered design as a key to success

AI systems only realize their full potential when they work with—rather than against—people. In industrial practice, companies often face the challenge of integrating highly complex algorithms in a way that is accepted by employees and used effectively. If user needs are ignored, AI projects risk becoming costly disappointments. The key to success lies in human-centered AI: the targeted combination of human experience with the computational power of AI.

Learn how to design AI systems as genuine decision-support tools that enhance human capabilities rather than replace them. We’ll shed light on the key challenges of human-machine interaction and show you how user-centered design becomes a fundamental prerequisite for using AI as a decision-support tool and reaping lasting benefits from technological progress.

  • Lecture
  • Webinar
Human-centered AI

Empowering people through user-centered design

  • Customer-centric strategy: you will learn how important it is to clearly align AI projects with user needs in order to overcome barriers to adoption and avoid wasted investments.
  • Effective collaboration: you will gain insights into practical approaches for seamless collaboration between humans and AI, where both sides complement each other perfectly.
  • Competency-based support: you will understand how AI systems can be specifically deployed as decision-support tools to enhance the individual skills of your employees.
  • Holistic performance monitoring: you will recognize the limitations of AI applications and learn to use user-centered design as a strategic tool for digital transformation.

This training is designed for subject matter experts and project managers who design, implement, or operate AI systems within organizations.

  • Product owners and project managers in AI and digital projects
  • Business analysts and process managers
  • Department heads responsible for AI-supported applications
  • Data scientists and AI engineers with application expertise
  • IT architects and technical leads for AI systems
  • UX and service designers in the AI context
  • Innovation and digitalization managers
  • Format: webinar/presentation
  • Duration: flexible
  • Delivery: online or in person
  • Practical component: high, with examples and specific application scenarios
     

The format can be customized to suit your organization’s specific needs—for example, by:

  • Incorporating your specific use cases
  • Adapting to your industry or project type
  • Delving deeper into specific methods or tools

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