The presentation, led by Prof. Dr. Thomas Süße, addresses the transformative role of AI within 5.0 organizations and beyond. It explores how AI is shaping productivity, collaboration, and innovation across various industries. Through empirical case studies, including the remanufacturing sector and software development in insurance, the presentation illustrates practical human-AI interactions. These examples reveal essential insights into how AI-human collaboration is evolving from simple coexistence to integrated partnerships. By framing these insights within the 5.0 paradigm, Prof. Dr. Süße offers a compelling foundation for advancing AI-related research aimed at enhancing productivity, job quality, and societal development.
Agenda
- Welcome and Introduction
Overview of AI’s transformative role in modern work, learning, and living.
Key goals for enhancing human benefits in AI-driven environments.
Key goals for enhancing human benefits in AI-driven environments.
- Concepts and Principles of Organization 5.0 / Industry 5.0
Defining Organization and Industry 5.0.
Human-AI collaboration for productivity and quality of life improvements.
Human-AI collaboration for productivity and quality of life improvements.
- Case Study A – AI in Production
Application in spare parts remanufacturing.
Insights on AI-human interactions in production settings.
Insights on AI-human interactions in production settings.
- Case Study B – AI in Service Industry (Insurance)
Role of generative AI in software development for insurance.
Worker perspectives on AI interaction.
Worker perspectives on AI interaction.
- Comparative Analysis of AI Applications
Comparing impact and importance between production and service use cases.
Key research findings (Süße & Kobert, 2023).
Key research findings (Süße & Kobert, 2023).
- Conclusions and Key Takeaways
Highlights on how AI is reshaping work and innovation.
Importance of empirical research in understanding AI’s benefits.
Framework of 5.0 as a foundation for AI-related research.
Importance of empirical research in understanding AI’s benefits.
Framework of 5.0 as a foundation for AI-related research.
- Q&A