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dc.contributor.authorGolovianko, Mariia
dc.contributor.authorGryshko, Svitlana
dc.contributor.authorTerziyan, Vagan
dc.contributor.authorTuunanen, Tuure
dc.date.accessioned2022-05-20T10:19:51Z
dc.date.available2022-05-20T10:19:51Z
dc.date.issued2023
dc.identifier.citationGolovianko, M., Gryshko, S., Terziyan, V., & Tuunanen, T. (2023). Responsible cognitive digital clones as decision-makers : a design science research study. <i>European Journal of Information Systems</i>, <i>32</i>(5), 879-901. <a href="https://doi.org/10.1080/0960085x.2022.2073278" target="_blank">https://doi.org/10.1080/0960085x.2022.2073278</a>
dc.identifier.otherCONVID_144345248
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/81197
dc.description.abstractThis study uses a design science research methodology to develop and evaluate the Pi-Mind agent, an information technology artefact that acts as a responsible, resilient, ubiquitous cognitive clone – or a digital copy – and an autonomous representative of a human decision-maker. Pi-Mind agents can learn the decision-making capabilities of their “donors” in a specific training environment based on generative adversarial networks. A trained clone can be used by a decision-maker as an additional resource for one’s own cognitive enhancement, as an autonomous representative, or even as a replacement when appropriate. The assumption regarding this approach is as follows: when someone was forced to leave a critical process because of, for example, sickness, or wanted to take care of several simultaneously running processes, then they would be more confident knowing that their autonomous digital representatives were as capable and predictable as their exact personal “copy”. The Pi-Mind agent was evaluated in a Ukrainian higher education environment and a military logistics laboratory. In this paper, in addition to describing the artefact, its expected utility, and its design process within different contexts, we include the corresponding proof of concept, proof of value, and proof of use.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherTaylor & Francis
dc.relation.ispartofseriesEuropean Journal of Information Systems
dc.rightsCC BY-NC-ND 4.0
dc.subject.otherartificial intelligence
dc.subject.othercognitive clones
dc.subject.otherdecision-making
dc.subject.otherdesign science research
dc.subject.otherdigital twinning
dc.titleResponsible cognitive digital clones as decision-makers : a design science research study
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202205202829
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineCollective Intelligencefi
dc.contributor.oppiaineTekniikkafi
dc.contributor.oppiaineValue Creation for Cyber-Physical Systems and Servicesfi
dc.contributor.oppiaineTietojärjestelmätiedefi
dc.contributor.oppiaineCollective Intelligenceen
dc.contributor.oppiaineEngineeringen
dc.contributor.oppiaineValue Creation for Cyber-Physical Systems and Servicesen
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.pagerange879-901
dc.relation.issn0960-085X
dc.relation.numberinseries5
dc.relation.volume32
dc.type.versionpublishedVersion
dc.rights.copyright© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
dc.rights.accesslevelopenAccessfi
dc.subject.ysopäätöksenteko
dc.subject.ysotekoäly
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p8743
jyx.subject.urihttp://www.yso.fi/onto/yso/p2616
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1080/0960085x.2022.2073278
dc.type.okmA1


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CC BY-NC-ND 4.0
Except where otherwise noted, this item's license is described as CC BY-NC-ND 4.0