Introduction to the minitrack on explainable artificial intelligence (XAI)

Christian Meske, Babak Abedin, Fethi Rabhi, Iris Junglas

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

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Abstract

The use of Artificial Intelligence (AI) in the context of decision analytics and service science has received significant attention in academia and practice alike. Yet, much of the current efforts have focused on advancing underlying algorithms and not on decreasing the complexity of AI systems. AI systems are still “black boxes” that are difficult to comprehend-not only for developers, but particularly for users and decision-makers.

Original languageEnglish
Title of host publicationHICSS 2021
Subtitle of host publicationProceedings of the 54th Annual Hawaii International Conference on System Sciences
EditorsTung X. Bui
Place of PublicationOnline
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1262-1263
Number of pages2
ISBN (Electronic)9780998133140
Publication statusPublished - 2021
Event54th Annual Hawaii International Conference on System Sciences, HICSS 2021 - Virtual, Online
Duration: 4 Jan 20218 Jan 2021

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Conference

Conference54th Annual Hawaii International Conference on System Sciences, HICSS 2021
CityVirtual, Online
Period4/01/218/01/21

Bibliographical note

Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

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