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Title:      A REVIEW OF THE ROLE OF EXPLANATIONS FOR USER ACCEPTANCE IN BLACK BOX SYSTEMS
Author(s):      Norman G. Vinson, Heather Molyneaux and Jean-Francois Lapointe
ISBN:      978-989-8533-79-1
Editors:      Katherine Blashki and Yingcai Xiao
Year:      2018
Edition:      Single
Keywords:      Explanation, AI, User Acceptance, Automated Decision Systems, Black Box
Type:      Reflection Paper
First Page:      419
Last Page:      422
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      The opacity of black box AI systemsÂ’ decision-making has led to calls to modify these systems so they can provide explanations for their decisions. In this article we discuss what these explanations should address and what their nature should be in order to meet the concerns that have been raised and to prove satisfactory to users.
   

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