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The Opaque Nature of Intelligence and the Pursuit of Explainable AI

Thomson, Sarah L.; van Stein, Niki; van den Berg, Daan; van Leeuwen, Cees


Niki van Stein

Daan van den Berg

Cees van Leeuwen


When artificial intelligence is used for making decisions, people are more likely to accept those decisions if they can be made intelligible to the public. This understanding has led to the emerging field of explainable artificial intelligence. We review how research on explainable artificial intelligence is being conducted and discuss the limitations of current approaches. In addition to technical limitations, there is the huge problem that human decision-making is not entirely transparent either. We conclude with our position that the opacity of intelligent decision-making may be intrinsic, and with the larger question of whether we really need explanations for trusting inherently complex and large intelligent systems — artificial or otherwise.

Presentation Conference Type Conference Paper (Published)
Conference Name NCTA 2023: 15th International Conference on Neural Computation Theory and Applications
Start Date Nov 13, 2023
End Date Nov 15, 2023
Acceptance Date Sep 27, 2023
Publication Date 2023
Deposit Date Sep 27, 2023
Publisher Scitepress Digital Library
Pages 555-564
Book Title Proceedings of the 15th International Joint Conference on Computational Intelligence
ISBN 978-989-758-674-3
Keywords Explainable Artificial Intelligence, XAI, Machine Learning, Neural Networks, Cognitive Science
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