Title: A scientific definition of explainable artificial intelligence for decision making

Authors: Fabian Wahler; Michael Neubert

Addresses: EIM – European Institute of Management, Apt 5, 66, Old Theatre Street, Valletta VLT 1427, Malta ' EIM – European Institute of Management, Apt 5, 66, Old Theatre Street, Valletta VLT 1427, Malta

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.

Keywords: artificial intelligence; AI; explainable artificial intelligence; xAI; decision making.

DOI: 10.1504/IJTCS.2023.131664

International Journal of Teaching and Case Studies, 2023 Vol.14 No.1, pp.88 - 116

Received: 27 Apr 2023
Accepted: 07 May 2023
Published online: 22 Jun 2023 *

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