
Our interdisciplinary team supports the application and development of artificial intelligence (AI), uniting views on human, social, economic and technical factors.
Our mission
We are convinced that AI is more than just processing and collecting data, adapting and customising algorithms and training and deploying models. AI will change many areas of our lives – be it medicine, industry or even our public administration.
Technology is important – but it is not everything. People will interact with AI, accept it, reject it, trust it or distrust it. The importance of AI goes far beyond the technical aspects. This is why we have formed an interdisciplinary team that brings together scientists from different fields:
- data science,
- infrastructure,
- business administration and
- software engineering.
We want to identify areas of application for AI, support the use of AI and test it. We want to make sure not to lose sight of people as developers and users of AI. We want to shape the path to the application of AI in a positive manner, but at the same time stay critical.
Some of the areas we know our way around in are AI infrastructures, text analytics & natural language processing, image recognition and time series analysis. We also have expertise in application domains such as education, eHealth, innovation, Industry 4.0 and networks.
In addition, we regularly exchange knowledge and opinions with colleagues who are experts in further domains. This is the only way to get one step closer to our goal of trustworthy AI.We are open to new (and proven) challenges. Although we want to work in these topics in general, the Flensburg region is particularly close to our hearts.
Neuste Publikationen
2024
- Aubreville, M. ., Ganz, J. ., Ammeling, J. ., Rosbach, E. ., Gehrke, T. ., Scherzad, A. ., … Goncalves, M. . (2024). Prediction of tumor board procedural recommendations using large language models. European Archives of Oto-Rhino-Laryngology. https://doi.org/10.1007/s00405-024-08947-9 (Original work published 2025)
- Aubreville, M. ., Ganz, J. ., Ammeling, J. ., Rosbach, E. ., Gehrke, T. ., Scherzad, A. ., … Goncalves, M. . (2024). Prediction of tumor board procedural recommendations using large language models. European Archives of Oto-Rhino-Laryngology. https://doi.org/10.1007/s00405-024-08947-9 (Original work published 2025)
- Ganz, J. ., Ammeling, J. ., Jabari, S. ., Breininger, K. ., & Aubreville, M. . (2024). Re-identification from histopathology images. Medical Image Analysis, 103335. https://doi.org/10.1016/j.media.2024.103335 (Original work published 2025)
Veranstaltungen
The FLAIR has no events planned currently.
We will let you know about new events here shortly.
Kontakt
Prof. Dr. rer. pol. Jan Gerken
Raum C 221
Telefon 0461/805 - 1471
Prof. Dr.-Ing. Ralf Lübben
Raum C 222
Telefon 0461/805-1461