A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts

HIGHLIGHTS

  • who: Gesina Schwalbe from the Continental AG, Regensburg, Germany Cognitive Systems Group, University of Bamberg, Bamberg, Germany have published the research work: A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts, in the Journal: (JOURNAL)
  • what: Without question, thorough use-case analysis including the main goal and derived requirements is one essential ingredient here (Langer et_al 2021). For this, the authors provide a complete collection and a structured overview in the form of a taxonomy of XAI method aspects in Sect 5, together with method examples for each . . .

     

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