Asatiani, Aleksandre

Malo, Pekka

Nagbøl, Per Rådberg

Penttinen, Esko

Rinta-Kahila, Tapani

Salovaara, Antti

English

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

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Challenges of Explaining the Behavior of Black-Box AI Systems

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https://pure.itu.dk/portal/files/85687226/Challenges_of_Explaining_the_Behavior_of_Black_Box_AI_Systems.pdf

Challenges of Explaining the Behavior of Black-Box AI Systems

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The IT University of Copenhagen's Repository

AIS Electronic Library (AISeL)