Schwalbe, GesinaGesinaSchwalbe0000-0003-2690-2478Schels, MartinMartinSchels2020-07-032020-07-032020https://fis.uni-bamberg.de/handle/uniba/47274Neural networks (NNs) have become a key technology for solving highly complex tasks, and require integration into future safety argumentations. New safety relevant aspects introduced by NN based algorithms are: representativity of test cases, robustness, inner representation and logic, and failure detection for NNs. In this paper, a general argumentation structure for safety cases respecting these four aspects is proposed together with possible sources of evidence.engneural networksafety argumentationsafety goal decomposition004conferenceobjecthttps://cscs19.cispa.saarland/files/cscs19_camera_ready/14_CSCS19-nn_safety_gaol_decomposition.pdfurn:nbn:de:bvb:473-irb-472744