Building trust to AI systems through explainability : technical and legal perspectives

2019
book section
conference proceedings
dc.abstract.enIn this position paper we discuss two perspectives on explainability of AI systems : technical and legal one, and we investigate how the two perspectives should be integrated to develop trust in the AI systems. We consider trust building as a process that should reflected in the design process of AI systems.pl
dc.affiliationWydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Informatyki Stosowanejpl
dc.affiliationWydział Prawa i Administracji : Katedra Teorii Prawapl
dc.conference2nd EXplainable AI in Law Workshop (XAILA 2019) co-located with 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019)pl
dc.conference.cityMadrid
dc.conference.countrySpain
dc.conference.datefinish2019-12-11
dc.conference.datestart2019-12-11
dc.conference.indexscopustrue
dc.conference.shortcutJURIX
dc.contributor.authorNalepa, Grzegorz - 200414 pl
dc.contributor.authorAraszkiewicz, Michał - 134836 pl
dc.contributor.authorNowaczyk, Sławomirpl
dc.contributor.authorBobek, Szymon - 428058 pl
dc.contributor.editorNalepa, Grzegorz - 200414 pl
dc.contributor.editorAtzmueller, Martinpl
dc.contributor.editorAraszkiewicz, Michał - 134836 pl
dc.contributor.editorNovais, Paulopl
dc.date.accession2020-12-30pl
dc.date.accessioned2021-01-11T15:15:50Z
dc.date.available2021-01-11T15:15:50Z
dc.date.issued2019pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.conftypeinternationalpl
dc.description.seriesCEUR Workshop Proceedings
dc.description.seriesnumbervol. 2681
dc.description.versionostateczna wersja wydawcy
dc.identifier.articleid2pl
dc.identifier.projectROD UJ / OPpl
dc.identifier.seriesissn1613-0073
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/260173
dc.identifier.weblinkhttp://ceur-ws.org/Vol-2681/xaila2019-paper2.pdfpl
dc.identifier.weblinkhttp://ceur-ws.org/Vol-2681/pl
dc.languageengpl
dc.language.containerengpl
dc.pubinfoAachen : Technical University of Aachenpl
dc.rightsUdzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa*
dc.rights.licenceCC-BY
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/legalcode.pl*
dc.share.typeinne
dc.subject.entrustpl
dc.subject.enexplainabilitypl
dc.subject.enliabilitypl
dc.subtypeConferenceProceedingspl
dc.titleBuilding trust to AI systems through explainability : technical and legal perspectivespl
dc.title.containerXAILA 2019 EXplainable AI in Law 2019 : proceedings of the 2nd EXplainable AI in Law Workshop (XAILA 2019) co-located with 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019) : Madrid, Spain, December 11, 2019pl
dc.typeBookSectionpl
dspace.entity.typePublication
dc.abstract.enpl
In this position paper we discuss two perspectives on explainability of AI systems : technical and legal one, and we investigate how the two perspectives should be integrated to develop trust in the AI systems. We consider trust building as a process that should reflected in the design process of AI systems.
dc.affiliationpl
Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Informatyki Stosowanej
dc.affiliationpl
Wydział Prawa i Administracji : Katedra Teorii Prawa
dc.conferencepl
2nd EXplainable AI in Law Workshop (XAILA 2019) co-located with 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019)
dc.conference.city
Madrid
dc.conference.country
Spain
dc.conference.datefinish
2019-12-11
dc.conference.datestart
2019-12-11
dc.conference.indexscopus
true
dc.conference.shortcut
JURIX
dc.contributor.authorpl
Nalepa, Grzegorz - 200414
dc.contributor.authorpl
Araszkiewicz, Michał - 134836
dc.contributor.authorpl
Nowaczyk, Sławomir
dc.contributor.authorpl
Bobek, Szymon - 428058
dc.contributor.editorpl
Nalepa, Grzegorz - 200414
dc.contributor.editorpl
Atzmueller, Martin
dc.contributor.editorpl
Araszkiewicz, Michał - 134836
dc.contributor.editorpl
Novais, Paulo
dc.date.accessionpl
2020-12-30
dc.date.accessioned
2021-01-11T15:15:50Z
dc.date.available
2021-01-11T15:15:50Z
dc.date.issuedpl
2019
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.conftypepl
international
dc.description.series
CEUR Workshop Proceedings
dc.description.seriesnumber
vol. 2681
dc.description.version
ostateczna wersja wydawcy
dc.identifier.articleidpl
2
dc.identifier.projectpl
ROD UJ / OP
dc.identifier.seriesissn
1613-0073
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/260173
dc.identifier.weblinkpl
http://ceur-ws.org/Vol-2681/xaila2019-paper2.pdf
dc.identifier.weblinkpl
http://ceur-ws.org/Vol-2681/
dc.languagepl
eng
dc.language.containerpl
eng
dc.pubinfopl
Aachen : Technical University of Aachen
dc.rights*
Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa
dc.rights.licence
CC-BY
dc.rights.uri*
http://creativecommons.org/licenses/by/4.0/legalcode.pl
dc.share.type
inne
dc.subject.enpl
trust
dc.subject.enpl
explainability
dc.subject.enpl
liability
dc.subtypepl
ConferenceProceedings
dc.titlepl
Building trust to AI systems through explainability : technical and legal perspectives
dc.title.containerpl
XAILA 2019 EXplainable AI in Law 2019 : proceedings of the 2nd EXplainable AI in Law Workshop (XAILA 2019) co-located with 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019) : Madrid, Spain, December 11, 2019
dc.typepl
BookSection
dspace.entity.type
Publication
Affiliations

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