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Building trust to AI systems through explainability. Technical and legal perspectives
Jagiellonian University, Krakow, Poland.
Jagiellonian University, Krakow, Poland.ORCID iD: 0000-0003-2524-3976
Halmstad University, School of Information Technology.ORCID iD: 0000-0002-7796-5201
Jagiellonian University, Krakow, Poland.ORCID iD: 0000-0002-6350-8405
2019 (English)In: Proceedings of the 2nd EXplainable AI in Law Workshop (XAILA 2019) / [ed] Grzegorz J. Nalepa; Martin Atzmueller; Michał Araszkiewicz; Paulo Novais, Aachen, 2019, Vol. 2681, p. 1-6Conference paper, Published paper (Refereed)
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. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Place, publisher, year, edition, pages
Aachen, 2019. Vol. 2681, p. 1-6
Series
CEUR Workshop Proceedings, ISSN 1613-0073
Keywords [en]
Explainability, Liability, Trust
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:hh:diva-52147Scopus ID: 2-s2.0-85093358551OAI: oai:DiVA.org:hh-52147DiVA, id: diva2:1860477
Conference
2nd EXplainable AI in Law Workshop (XAILA 2019), Madrid, Spain, 11 December, 2019
Available from: 2024-05-24 Created: 2024-05-24 Last updated: 2024-05-24Bibliographically approved

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Nowaczyk, Sławomir

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Citation style
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