As part of the ReCo funding program, Fraunhofer IESE is expanding a one-day seminar on SafeAI into a four-day certified online/hybrid advanced training course addressing the interface between functional safety and Artificial Intelligence.
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As part of the ReCo funding program, Fraunhofer IESE is expanding a one-day seminar on SafeAI into a four-day certified online/hybrid advanced training course in order to complement the existing training offered by the Fraunhofer Academy in the area of the successful Data Scientist program, which we co-designed. The topic of Artificial Intelligence (AI) in safety-critical applications is attracting growing interest in practice, an interest that is expected to increase in the coming years. The training offers interested parties an overview of the state of the art at the interface between functional safety and AI, including relevant standards and standardization initiatives. In addition, it creates an awareness for the challenges of using AI in safety-critical solutions by highlighting typical problems from this challenging area. Participants learn about possible strategies for the safe use of AI solutions and try out a selection of approaches that help them address specific challenges and derive custom-tailored safety concepts. The training, which can be conducted either online or as a hybrid event, includes a high proportion of exercises and interaction in order to convey the content in a practice-oriented manner and facilitate transfer to everyday professional life.
Fraunhofer Institute for Experimental Software Engineering IESE