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dc.contributor.authorVakkuri, Ville
dc.contributor.authorKemell, Kai-Kristian
dc.contributor.authorKultanen, Joni
dc.contributor.authorAbrahamsson, Pekka
dc.date.accessioned2020-04-03T09:18:26Z
dc.date.available2020-04-03T09:18:26Z
dc.date.issued2020
dc.identifier.citationVakkuri, V., Kemell, K.-K., Kultanen, J., & Abrahamsson, P. (2020). The Current State of Industrial Practice in Artificial Intelligence Ethics. <i>IEEE Software</i>, <i>37</i>(4), 50-57. <a href="https://doi.org/10.1109/MS.2020.2985621" target="_blank">https://doi.org/10.1109/MS.2020.2985621</a>
dc.identifier.otherCONVID_35166757
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/68453
dc.description.abstractAs Artificial Intelligence (AI) systems become increasingly widespread, we have begun to witness various failures highlighting issues in these systems. These incidents have sparked public discussion related to AI ethics and further accelerated the on-going academic discussion in the area. High-level guidelines and tools for managing AI ethics have been introduced to help industry organizations make more ethical AI systems, but we currently know little about the state of industrial practice. Have these guidelines been adopted by the software industry for developing AI solutions? Are these failures that make the news just the tip of the iceberg? We provide insights into the current state of practice by presenting the results of a survey of 211 software companies.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofseriesIEEE Software
dc.rightsIn Copyright
dc.subject.otherartificial intelligence
dc.subject.otherethics
dc.subject.othersoftware development
dc.titleThe Current State of Industrial Practice in Artificial Intelligence Ethics
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202004032666
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietojärjestelmätiedefi
dc.contributor.oppiaineInformation Systems Scienceen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange50-57
dc.relation.issn0740-7459
dc.relation.numberinseries4
dc.relation.volume37
dc.type.versionacceptedVersion
dc.rights.copyright© IEEE, 2020
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.subject.ysoetiikka
dc.subject.ysotekoäly
dc.subject.ysoohjelmistokehitys
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p3166
jyx.subject.urihttp://www.yso.fi/onto/yso/p2616
jyx.subject.urihttp://www.yso.fi/onto/yso/p21530
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1109/MS.2020.2985621
jyx.fundinginformationNo funding information.
dc.type.okmA1


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