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

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

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dc.contributor.author Nalepa, Grzegorz [SAP14004063] pl
dc.contributor.author Araszkiewicz, Michał [SAP13016594] pl
dc.contributor.author Nowaczyk, Sławomir pl
dc.contributor.author Bobek, Szymon [SAP14044690] pl
dc.contributor.editor Nalepa, Grzegorz [SAP14004063] pl
dc.contributor.editor Atzmueller, Martin pl
dc.contributor.editor Araszkiewicz, Michał [SAP13016594] pl
dc.contributor.editor Novais, Paulo pl
dc.date.accessioned 2021-01-11T15:15:50Z
dc.date.available 2021-01-11T15:15:50Z
dc.date.issued 2019 pl
dc.identifier.uri https://ruj.uj.edu.pl/xmlui/handle/item/260173
dc.language eng pl
dc.rights Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/pl/legalcode *
dc.title Building trust to AI systems through explainability : technical and legal perspectives pl
dc.type BookSection pl
dc.pubinfo Aachen : Technical University of Aachen pl
dc.identifier.weblink http://ceur-ws.org/Vol-2681/xaila2019-paper2.pdf pl
dc.identifier.weblink http://ceur-ws.org/Vol-2681/ pl
dc.abstract.en 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. pl
dc.subject.en trust pl
dc.subject.en explainability pl
dc.subject.en liability pl
dc.description.series CEUR Workshop Proceedings, ISSN 1613-0073; vol. 2681 pl
dc.description.conftype international pl
dc.title.container 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 pl
dc.language.container eng pl
dc.date.accession 2020-12-30 pl
dc.affiliation Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Informatyki Stosowanej pl
dc.affiliation Wydział Prawa i Administracji : Katedra Teorii Prawa pl
dc.subtype ConferenceProceedings pl
dc.conference 2nd EXplainable AI in Law Workshop (XAILA 2019) co-located with 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019); 2019-12-11; 2019-12-11; Madrid; Spain; ; indeksowana w Scopus; ; JURIX; pl
dc.identifier.articleid 2 pl
dc.rights.original CC-BY; inne; ostateczna wersja wydawcy; w momencie opublikowania; 0 pl
dc.identifier.project ROD UJ / OP pl


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Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa Except where otherwise noted, this item's license is described as Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa