Date	01.06.2026, 02.06.2026, 15.06.2026 and 16.06.2026
Duration	4 teaching days
ECTS	4 ECTS
Language	English
Method	in-person classes

Day 7: Generative AI for Data Analytics and Business Intelligence

Instructors: Prof. Dr. Claudio Tessone

• Data Handling with AI
  • Techniques for data imputation, denoising, and anomaly detection
  • Generative AI in Data Augmentation
• Scenario Simulation and Risk Assessment

 

Day 8: Collaborating with Generative AI

Instructors: Prof. Dr. Mateusz Dolata

• General Perspective: Collaboration Engineering
• Engineering Human-AI Collaboration in Dyads and Triads
  • Challenges in Dyadic Collaboration
  • Copilots, Assistants, and Chatbots
  • Example: Public Administration
• Engineering Human-AI Collaboration in Groups
  • Challenges in Group Collaboration
  • Coworkers, Team Members, and Managers
  • Example: Brainstorming
• Outlook: Towards Integrated Intelligence
• Hands-On: Engineer your own collaboration with GenAI

 

Day 9: Legal and Ethical Aspects of Generative AI

Instructors: Prof. Dr. Markus Christen & Prof. Dr. Florent Thouvenin

• Ethical Frameworks
  • A short introduction into ethics in general and ethics of AI
  • Specific challenges posed by generative AI
  • Some potential solutions to ethical problems of generative AI
• Regulatory Landscape
  • Data protection
  • Copyright and Patent law
  • Legal Concerns: Discrimination and Liability

 

Day 10: The Business of Generative AI

Instructors: Prof. Dr. Mateusz Dolata and invited guests from industry and academia

• General Perspective: Digital Business Models
• GenAI-driven Business Models – Industry Cases
  • Aviation Industry
  • Online Marketing
  • Translation
  • Health Industry
  • … and others
• Hands-On: Be a pioneer! Your own business model