Challenges of explaining the behavior of black-box AI systems

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

doi:10.17705/2msqe.00037

Challenges of explaining the behavior of black-box AI systems

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

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Lehtiartikkeli › Article › Scientific

89 Sitaatiot (Scopus)

Abstrakti

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.

Alkuperäiskieli	Englanti
Artikkeli	7
Sivut	259-278
Sivumäärä	20
Julkaisu	MIS Quarterly Executive
Vuosikerta	19
Numero	4
DOI - pysyväislinkit	https://doi.org/10.17705/2msqe.00037
Tila	Julkaistu - jouluk. 2020
OKM-julkaisutyyppi	B1 Kirjoitus tieteellisessä aikakauslehdessä

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10.17705/2msqe.00037

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AU - Rinta-Kahila, Tapani

AU - Salovaara, Antti

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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. 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.

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Challenges of explaining the behavior of black-box AI systems

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