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Generating Explanations for Algorithmic Decisions of Usage-Based Insurances using Natural Language Generation

dc.contributor.authorBraun, Daniel
dc.contributor.authorMatthes, Florian
dc.contributor.editorTichy, Matthias
dc.contributor.editorBodden, Eric
dc.contributor.editorKuhrmann, Marco
dc.contributor.editorWagner, Stefan
dc.contributor.editorSteghöfer, Jan-Philipp
dc.date.accessioned2019-03-29T10:24:16Z
dc.date.available2019-03-29T10:24:16Z
dc.date.issued2018
dc.description.abstractUsage-based insurances are becoming more and more popular, especially for cars. These so called telematics insurances use different sensors installed in a car to track the individual driving style of the driver. Instead of calculating insurance premiums based on statistical risk groups, insurance companies can use these data to create individual risk profiles and calculate insurance premiums accordingly. We present an approach to use Natural Language Generation (NLG) in order to explain customers which aspects of their behaviour influenced the assessment of the algorithm. In this way, we can not only increase the acceptance of customers regarding such systems, but also positively influence their future behaviour.en
dc.identifier.isbn978-3-88579-673-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/21166
dc.language.isoen
dc.publisherGesellschaft für Informatik
dc.relation.ispartofSoftware Engineering und Software Management 2018
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-279
dc.subjectExplainable AI
dc.subjectNatural Language Generation
dc.subjectTelematics
dc.titleGenerating Explanations for Algorithmic Decisions of Usage-Based Insurances using Natural Language Generationen
dc.typeText/Conference Paper
gi.citation.endPage220
gi.citation.publisherPlaceBonn
gi.citation.startPage219
gi.conference.date5.-9. März 2018
gi.conference.locationUlm
gi.conference.sessiontitleSoftware Management 2018 - Wissenschaftliches Hauptprogramm

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