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.
Original language | English |
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Article number | 7 |
Journal | M I S Quarterly Executive |
Volume | 19 |
Issue number | 4 |
Pages (from-to) | 259-278 |
ISSN | 1540-1960 |
DOIs | |
Publication status | Published - 1 Dec 2020 |
Keywords
- Artificial intelligence
- Explainability
- Envelopment