Dr. Daniel Schneider leitet die Abteilung Dependable Systems. Schwerpunktmäßig beschäftigt er sich mit dem Thema Safety, wobei Kernkompetenzen und Forschungsinteressen unter anderem in den Bereichen modellbasiertes Safety Engineering, Safety offener Systeme (z.B. cyber-physische Systeme oder Internet of Things), Safety autonomer Systeme, Security for Safety und Verwendung „unsicherer“ Plattformen in sicherheitskritischen Anwendungen liegen.
Using Machine Learning components in critical systems requires a sound safety concept and the ability to argue and prove that the risk of the considered system is acceptably low. In our previous blog post (Dealing with uncertainties of Machine Learning…
The use of Machine Learning (ML) components in safety-critical or financially critical systems is challenging. At Fraunhofer IESE, we address this challenge by systematically engineering comprehensive multi-layered safety concepts and explicitly considering sources of uncertainties. This specifically includes situations at…
Model-based development offers many advantages such as improved maintainability, reusability, quality, and efficiency. Addressing these aspects is also possible for Safety Engineering if model-based approaches are introduced. In a four-part series of blog posts, we will give an overview of…
Künstliche Intelligenz (KI) steckt heutzutage bereits in vielen Systemen: vom Sprachassistenten bis hin zu intelligenten Algorithmen, die unser Verhalten beim Online-Shopping oder in Social Media auswerten. In Zukunft werden uns KI-Systeme noch viel häufiger begegnen und das insbesondere in kritischen…
