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Workshop on GenAI and final presentation in the master's seminar "Data Driven Service Engineering and Management"
A workshop on generative and agentic artificial intelligence (GenAI and Agentic AI) took place on June 13, 2025. The participants' final presentations followed on 10 July 2025. Both events were part of the master's seminar "Data Driven Service Engineering and Management" in the Department of Information Systems led by Dr. Mahei Li and Philipp Reinhard with the support of Viktoria Horn.
The workshop offered the students a practical insight into current developments in large language models (LLMs), retrieval augmented generation (RAG) and agentic systems through GenAI expert Dr. Nikolaus Lipusch. In addition to technical basics, economic issues as well as opportunities and limitations of the use of AI were discussed.
A particular focus was on practical application:
- In Google Colab, participants were able to work with Python and test prompts in generative models.
- Application scenarios were discussed in small groups, for example for reformulating legal documents into language that is appropriate for the target audience. The focus was on the question of how AI can create added value without compromising legal certainty or accessibility.
The seminar also emphasized the role of values in the design of AI solutions. Building on a values workshop with the Landeswohlfahrtsverband Hessen (LWV), the students took an in-depth look at ethical guidelines and used them to guide the development of their own prototypes.
The results were presented by two student teams:
- "KlarText": a system that supports LWV employees in communicating with service recipients in a legally compliant and comprehensible manner.
- "BescheidHelfer": An assistance system that helps benefit recipients to better understand complex notifications and navigate them independently.
By combining topics such as service innovation, service modeling, Scrum, value-based design, GenAI and agentic AI, the students were able to transfer their theoretical knowledge into practical solutions.
We would like to thank Dr. Karen Eilers and Dr. Nikolaus Lipusch for their support and the Landeswohlfahrtsverband Hessen for their cooperation.