A scientific definition of explainable artificial intelligence for decision making
by Fabian Wahler; Michael Neubert
International Journal of Teaching and Case Studies (IJTCS), Vol. 14, No. 1, 2023

Abstract: The purpose of this article is to shed light on explainable artificial intelligence in decision making by deriving a definition of the term which can be used by academics and practitioners as well. This will be achieved by creating an intertextual coherence for a term which can be described as ambiguously at best so far using a literature review and semantic analysis as research methodology. The main takeaway of this study is the derived definition that explainable AI in decision making seeks to increase trust and reliability in decision making by making black-box systems understandable, interpretable, and transparent to human users.

Online publication date: Thu, 22-Jun-2023

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