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Title:Hybrid reality development - can social responsibility concepts provide guidance?
Authors:ID Perko, Igor (Author)
Files:.pdf Perko-2021-Hybrid_reality_development-can_soci.pdf (796,19 KB)
MD5: C676888789761FCD19DBAA8BC8764C21
 
URL https://doi.org/10.1108/K-01-2020-0061
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:EPF - Faculty of Business and Economics
Abstract:Purpose: This paper aims to define hybrid reality (HyR) as an ongoing process in which artificial intelligence (AI) technology is gradually introduced as an active stakeholder by using reasoning to execute real-life activities. Also, to examine the implications of social responsibility (SR) concepts as featured in the HyR underlying common framework to progress towards the redefinition of global society. Design/methodology/approach: A combination of systemic tools is used to examine and assess the development of HyR. The research is based on evolutionary and learning concepts, leading to the new meta-system development. It also builds upon the viable system model and AI, invoking SR as a conceptual framework. The research is conducted by using a new approach: using system dynamics based interactions modelling, the following two models have been proposed. The state-of-the-art HyR interactions model, examined using SR concepts; and a SR concept-based HyR model, examined using a smart vehicle case. Findings: In the HyR model, interaction asymmetry between stakeholders is identified, possibly leading to pathological behaviour and AI technology learning corruption. To resolve these asymmetry issues, an interaction model based on SR concepts is proposed and examined on the example of an autonomous vehicle transport service. The examination results display significant changes in the conceptual understanding of transport services, their utilisation and data-sharing concepts. Research limitations/implications: As the research proposal is theoretical in nature, the projection may not display a fully holistic perspective and can/should be complemented with empirical research results. Practical implications: For researchers, HyR provides a new paradigm and can thereby articulate potential research frameworks. HyR designers can recognise projected development paths and the resources required for the implication of SR concepts. Individuals and organisations should be aware of their not necessarily passive role in HyR and can therefore use the necessary social force to activate their status. Originality/value: For the first time, to the best of the author’s knowledge, the term HyR is openly elaborated and systemically examined by invoking concepts of SR. The proposed model provides an overview of the current and potential states of HyR and examines the gap between them.
Keywords:artificial intelligence, social responsibility, systems thinking, cybernetics, hybrid reality, interactions model
Publication status:Published
Publication version:Version of Record
Submitted for review:31.01.2020
Article acceptance date:14.09.2020
Publication date:20.10.2020
Publisher:MCB university press
Year of publishing:2021
Number of pages:Str. 676-693
Numbering:Letn. 50, št. 3
PID:20.500.12556/DKUM-91771 New window
UDC:316.62:159.947.23
ISSN on article:0368-492X
COBISS.SI-ID:33503235 New window
DOI:10.1108/K-01-2020-0061 New window
Publication date in DKUM:04.02.2025
Views:145
Downloads:251
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Kybernetes
Shortened title:Kybernetes
Publisher:MCB university press
ISSN:0368-492X
COBISS.SI-ID:28709889 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:20.10.2020

Secondary language

Language:Slovenian
Keywords:umetna inteligenca, družbena odgovornost, sistemsko razmišljanje, kibernetika, hibridna resničnost, modeli interakcij, informacijska tehnologija


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