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Challenges of Explaining the Behavior of Black-Box AI Systems

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There are many examples of problems resulting from inscrutable AI systems, so there is a growing need to be able to explain how such systems produce their outputs. Draw- ing on a case study at the Danish Business Authority, we provide a framework and recommendations for addressing the many challenges of explaining the behavior of black-box AI systems. Our findings will enable organizations to successfully develop and deploy AI systems without causing legal or ethical problems.
Original languageEnglish
Article number7
JournalM I S Quarterly Executive
Volume19
Issue number4
Pages (from-to)259-278
ISSN1540-1960
Publication statusPublished - 1 Dec 2020
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    Research areas

  • Artificial intelligence, Explainability, Envelopment

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