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dc.contributor.authorFalomir, Zoe
dc.contributor.authorCosta, Vicent
dc.date.accessioned2022-11-24T14:06:57Z
dc.date.available2022-11-24T14:06:57Z
dc.date.issued2021
dc.identifier.isbn9781643682112
dc.identifier.isbn9781643682105
dc.identifier.urihttp://hdl.handle.net/10234/200901
dc.description.abstractThis paper is a first step towards studying the rationality of explanations produced by up-to-date AI systems. Based on the thesis that designing rational explanations for accomplishing trustworthy AI is fundamental for ethics in AI, we study the rationality criteria that explanations in classification algorithms have to meet. In this way, we identify, define, and exemplify characteristic criteria of rational explanations in classification algorithms.ca_CA
dc.format.extent10 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherIOS Pressca_CA
dc.relation.isPartOfArtificial Intelligence Research and Development M. Villaret et al. (Eds.), Amsterdam, Netherlands : IOS Press , 2021ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/ca_CA
dc.subjectRationalityca_CA
dc.subjectrational explanationca_CA
dc.subjectexplainable AIca_CA
dc.subjectclassification algorithmca_CA
dc.subjectAI ethicsca_CA
dc.subjecttrustworthy AIca_CA
dc.titleOn the Rationality of Explanations in Classification Algorithmsca_CA
dc.typeinfo:eu-repo/semantics/bookPartca_CA
dc.identifier.doi10.3233/FAIA210165
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://ebooks.iospress.nl/doi/10.3233/FAIA210165ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.nameMinisterio de Ciencia e Innovación. Ramon y Cajalca_CA
oaire.awardNumberRYC2019-027177-I/AEI/10.13039/501100011033ca_CA


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