TY - JOUR
T1 - Challenges of Explaining the Behavior of Black-Box AI Systems
AU - Asatiani, Aleksandre
AU - Malo, Pekka
AU - Nagbøl, Per Rådberg
AU - Penttinen, Esko
AU - Rinta-Kahila, Tapani
AU - Salovaara, Antti
PY - 2020/12/1
Y1 - 2020/12/1
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Explainability
KW - Envelopment
UR - https://aisel.aisnet.org/misqe/vol19/iss4/7/
U2 - http://doi.org/10.17705/2msqe.00037
DO - http://doi.org/10.17705/2msqe.00037
M3 - Journal article
SN - 1540-1960
VL - 19
SP - 259
EP - 278
JO - M I S Quarterly Executive
JF - M I S Quarterly Executive
IS - 4
M1 - 7
ER -