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Challenges of Explaining the Behavior of Black-Box AI Systems

  • Aleksandre Asatiani
    ,
  • Pekka Malo
    ,
  • Per Rådberg Nagbøl
    ,
  • Esko Penttinen
    ,
  • Tapani Rinta-Kahila
    ,
  • Antti Salovaara
  • University of Gothenburg
    ,
  • Aalto University
    ,
  • The University of Queensland
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Open access

Abstract

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.

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Article number

7

Pages from-to (Number of pages)

Pages 259-278

Journal (Volume, Issue Number)

M I S Quarterly Executive (Volume 19, Issue 4)

Publication milestones

  • Published - 01/12/2020

Publication status

Published - 01/12/2020

ISSN

1540-1960

Publication IDs

  • Scopus: 85101862718

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Citation count
125