A1 Journal article (refereed)
Responsible cognitive digital clones as decision-makers : a design science research study (2023)


Golovianko, M., Gryshko, S., Terziyan, V., & Tuunanen, T. (2023). Responsible cognitive digital clones as decision-makers : a design science research study. European Journal of Information Systems, 32(5), 879-901. https://doi.org/10.1080/0960085x.2022.2073278


JYU authors or editors


Publication details

All authors or editorsGolovianko, Mariia; Gryshko, Svitlana; Terziyan, Vagan; Tuunanen, Tuure

Journal or seriesEuropean Journal of Information Systems

ISSN0960-085X

eISSN1476-9344

Publication year2023

Publication date16/05/2022

Volume32

Issue number5

Pages range879-901

PublisherTaylor & Francis

Publication countryUnited Kingdom

Publication languageEnglish

DOIhttps://doi.org/10.1080/0960085x.2022.2073278

Publication open accessOpenly available

Publication channel open accessPartially open access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/81197


Abstract

This 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.


Keywordsartificial intelligencedecision making

Free keywordsartificial intelligence; cognitive clones; decision-making; design science research; digital twinning


Contributing organizations


Ministry reportingYes

Reporting Year2022

JUFO rating3


Last updated on 2024-02-07 at 23:07