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 editors: Golovianko, Mariia; Gryshko, Svitlana; Terziyan, Vagan; Tuunanen, Tuure

Journal or series: European Journal of Information Systems

ISSN: 0960-085X

eISSN: 1476-9344

Publication year: 2023

Publication date: 16/05/2022

Volume: 32

Issue number: 5

Pages range: 879-901

Publisher: Taylor & Francis

Publication country: United Kingdom

Publication language: English

DOI: https://doi.org/10.1080/0960085x.2022.2073278

Publication open access: Openly available

Publication channel open access: Partially 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.

Keywords: artificial intelligence; decision making

Free keywords: artificial intelligence; cognitive clones; decision-making; design science research; digital twinning

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2022

JUFO rating: 3