Challenges of Explaining the Behavior of Black-Box AI Systems

Aleksandre Asatiani, Pekka Malo, Per Rådberg Nagbøl, Esko Penttinen, Tapani Rinta-Kahila, Antti Salovaara

Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review


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
Issue number4
Pages (from-to)259-278
Publication statusPublished - 1 Dec 2020


  • Artificial intelligence
  • Explainability
  • Envelopment


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