Ioannis Sorokos is a senior researcher at the Fraunhofer Institute for Experimental Software Engineering (IESE) in the department of Safety Engineering. He is a member of Dependable AI research group. He received his PhD from the University of Hull in a topic related to model-based safety assurance. He has participated in and managed several industry and international research projects, including the Horizon Europe projects DEIS, BIECO and SESAME. He's a member of the WAISE workshop program committee and a editor in the Frontiers in Robotics and AI journal for AI Safety in Safety Critical Systems. His research interests include model-based safety assurance, safety-security co-engineering, ML uncertainty and self-adaptive systems.
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…
