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dc.contributor.authorVakkuri, Ville
dc.contributor.authorKemell, Kai-Kristian
dc.contributor.editorHyrynsalmi, Sami
dc.contributor.editorSuoranta, Mari
dc.contributor.editorNguyen-Duc, Anh
dc.contributor.editorTyrväinen, Pasi
dc.contributor.editorAbrahamsson, Pekka
dc.date.accessioned2020-01-14T08:27:55Z
dc.date.available2020-01-14T08:27:55Z
dc.date.issued2019
dc.identifier.citationVakkuri, V., & Kemell, K.-K. (2019). Implementing AI Ethics in Practice : An Empirical Evaluation of the RESOLVEDD Strategy. In S. Hyrynsalmi, M. Suoranta, A. Nguyen-Duc, P. Tyrväinen, & P. Abrahamsson (Eds.), <i>ICSOB 2019 : 10th International Conference of Software Business</i> (pp. 260-275). Springer. Lecture Notes in Business Information Processing, 370. <a href="https://doi.org/10.1007/978-3-030-33742-1_21" target="_blank">https://doi.org/10.1007/978-3-030-33742-1_21</a>
dc.identifier.otherCONVID_33488865
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/67252
dc.description.abstractAs Artificial Intelligence (AI) systems exert a growing influence on society, real-life incidents begin to underline the importance of AI Ethics. Though calls for more ethical AI systems have been voiced by scholars and the general public alike, few empirical studies on the topic exist. Similarly, few tools and methods designed for implementing AI ethics into practice currently exist. To provide empirical data into this on-going discussion, we empirically evaluate an existing method from the field of business ethics, the RESOLVEDD strategy, in the context of ethical system development. We evaluated RESOLVEDD by means of a multiple case study of five student projects where its use was given as one of the design requirements for the projects. One of our key findings is that, even though the use of the ethical method was forced upon the participants, its utilization nonetheless facilitated of ethical consideration in the projects. Specifically, it resulted in the developers displaying more responsibility, even though the use of the tool did not stem from intrinsic motivation.en
dc.format.extent418
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofICSOB 2019 : 10th International Conference of Software Business
dc.relation.ispartofseriesLecture Notes in Business Information Processing
dc.rightsIn Copyright
dc.subject.otherartificial intelligence
dc.subject.otherethics
dc.subject.otherdesign methods
dc.subject.otherethical tool
dc.subject.otherRESOLVEDD
dc.subject.otherdeveloper commitment
dc.titleImplementing AI Ethics in Practice : An Empirical Evaluation of the RESOLVEDD Strategy
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-202001141204
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.relation.isbn978-3-030-33741-4
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange260-275
dc.relation.issn1865-1348
dc.type.versionacceptedVersion
dc.rights.copyright© 2019 Springer Nature Switzerland AG
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceInternational Conference on Software Business
dc.subject.ysoetiikka
dc.subject.ysotekoäly
dc.subject.ysojärjestelmäsuunnittelu
dc.subject.ysokäytäntö
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/p28347
jyx.subject.urihttp://www.yso.fi/onto/yso/p9640
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1007/978-3-030-33742-1_21
dc.type.okmA4


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