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dc.contributor.authorVakkuri, Ville
dc.contributor.authorKemell, Kai-Kristian
dc.contributor.authorJantunen, Marianna
dc.contributor.authorHalme, Erika
dc.contributor.authorAbrahamsson, Pekka
dc.date.accessioned2021-09-17T06:41:04Z
dc.date.available2021-09-17T06:41:04Z
dc.date.issued2021
dc.identifier.citationVakkuri, V., Kemell, K.-K., Jantunen, M., Halme, E., & Abrahamsson, P. (2021). ECCOLA : a method for implementing ethically aligned AI systems. <i>Journal of Systems and Software</i>, <i>182</i>, Article 111067. <a href="https://doi.org/10.1016/j.jss.2021.111067" target="_blank">https://doi.org/10.1016/j.jss.2021.111067</a>
dc.identifier.otherCONVID_100866503
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/77811
dc.description.abstractArtificial Intelligence (AI) systems are becoming increasingly widespread and exert a growing influence on society at large. The growing impact of these systems has also highlighted potential issues that may arise from their utilization, such as data privacy issues, resulting in calls for ethical AI systems. Yet, how to develop ethical AI systems remains an important question in the area. How should the principles and values be converted into requirements for these systems, and what should developers and the organizations developing these systems do? To further bridge this gap in the area, in this paper, we present a method for implementing AI ethics: ECCOLA. Following a cyclical action research approach, ECCOLA has been iteratively developed over the course of multiple years, in collaboration with both researchers and practitioners.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofseriesJournal of Systems and Software
dc.rightsCC BY 4.0
dc.subject.otherartificial intelligence
dc.subject.otherAI ethics
dc.subject.otherethics
dc.subject.otherimplementing
dc.subject.othermethod
dc.titleECCOLA : a method for implementing ethically aligned AI systems
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202109174886
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietojärjestelmätiedefi
dc.contributor.oppiaineResurssiviisausyhteisöfi
dc.contributor.oppiaineInformation Systems Scienceen
dc.contributor.oppiaineSchool of Resource Wisdomen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn0164-1212
dc.relation.volume182
dc.type.versionpublishedVersion
dc.rights.copyright© 2021 The Author(s). Published by Elsevier Inc.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber110/31/2020
dc.subject.ysotekoäly
dc.subject.ysomenetelmät
dc.subject.ysojärjestelmäsuunnittelu
dc.subject.ysoeettisyys
dc.subject.ysoetiikka
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p2616
jyx.subject.urihttp://www.yso.fi/onto/yso/p1913
jyx.subject.urihttp://www.yso.fi/onto/yso/p28347
jyx.subject.urihttp://www.yso.fi/onto/yso/p23085
jyx.subject.urihttp://www.yso.fi/onto/yso/p3166
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1016/j.jss.2021.111067
dc.relation.funderBusiness Finlanden
dc.relation.funderBusiness Finlandfi
jyx.fundingprogramOthers, Business Finlanden
jyx.fundingprogramMuut, Business Finlandfi
jyx.fundinginformationThis research is partially funded by Business Finland (businessfinland.fi) research projects: Sea4Value-Fairway & Stroke-Data and ITEA4 (itea4.org/project/mad-work.html) research project: Mad@Work.
dc.type.okmA1


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