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Reviewing the Need for Explainable Artificial Intelligence (xAI)

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Title:Reviewing the Need for Explainable Artificial Intelligence (xAI)
Authors:Gerlings, Julie
Shollo, Arisa
Constantiou, Ioanna
Keywords:Explainable Artificial Intelligence (XAI)
explainable ai
machine learning
socio-technical
stakeholders
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Date Issued:05 Jan 2021
Abstract:The diffusion of artificial intelligence (AI) applications in organizations and society has fueled research on explaining AI decisions. The explainable AI (xAI) field is rapidly expanding with numerous ways of extracting information and visualizing the output of AI technologies (e.g. deep neural networks). Yet, we have a limited understanding of how xAI research addresses the need for explainable AI. We conduct a systematic review of xAI literature on the topic and identify four thematic debates central to how xAI addresses the black-box problem. Based on this critical analysis of the xAI scholarship we synthesize the findings into a future research agenda to further the xAI body of knowledge.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/70768
ISBN:978-0-9981331-4-0
DOI:10.24251/HICSS.2021.156
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Explainable Artificial Intelligence (XAI)


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