Module 3: Management, Ethics and Applications (4 days)

Day 7: Collaborating with Generative AI

Instructors: Prof. Dr. Gerhard Schwabe & Dr. Mateusz Dolata

• Collaboration between one human actor and generative AI agent (MD)

  • Use case: Creating responses to one’s own emails 
  • Introduction to human-autonomy teaming
  • Assistance, Augmentation, Automation Framework

• Collaboration between two actors (with various roles) and generative AI agent (MD)

  • Use case: Responding to online reviews
  • Delegation Framework 
  • Roles for human workers
• Collaboration between a team of human actors and generative AI agent(s) (GS?)
  • Use case: Workshops and creative Teams (xLeap)
  • Challenges of Teamwork
  • Machines as Teammates

• Collaboration in context of organizations (MD/GS )

  • Use case: Pedagogical agents (?)
  • Prerequisite for successful change (processes, acceptance, perception of AI) 
    • Process change beyond what has been done previously with ERP
    • Public discourse and its influence on acceptance 
    • C-level - between hype and reality  

Day 8: The Business of Generative AI 

Instructors: Dr. Mateusz Dolata & Prof. Dr. Gerhard Schwabe 

• Management of organizations involving Generative-AI agent

• Management by AI

• Novel business processes enabled by Generative AI

• Business processes changed by Generative AI

• Hands-on session
  • Design Thinking Workshop for Generative AI, based on problems & ideas from participants' own organisations

Day 9: 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 10: Legal and Ethical and 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