Challenges of explaining the behavior of black-box AI systems

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

*Corresponding author for this work

Research output: Contribution to journalArticleScientific

36 Citations (Scopus)


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. Drawing 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
Pages (from-to)259-278
Number of pages20
JournalMIS Quarterly Executive
Issue number4
Publication statusPublished - Dec 2020
MoE publication typeB1 Non-refereed journal articles


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