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Trends, risks and potential cooperations in the AI development market: expectations of the Hungarian investors and developers in an international context

Katalin Feher (University of Public Service, Budapest, Hungary)
Zoltan Veres (University of Pannonia, Veszprem, Hungary)

International Journal of Sociology and Social Policy

ISSN: 0144-333X

Article publication date: 25 March 2022

Issue publication date: 14 February 2023

326

Abstract

Purpose

The goal of the paper is to identify the comprehensive trends, practical implications and risks of artificial intelligence (AI) technology in the economy and society, exploring the expectations of Hungarian powerful actors in a global arena.

Design/methodology/approach

Sociology of expectations framed the theoretical considerations. The explorative research design presents an anonymous qualitative online survey. Respondents represent the Hungarian AI Coalition with a quarter of the members.

Findings

The key finding is a controversial result. Although AI is interpreted as a decision-supportive and problem-solving technology for the economy, uncertainties and fears for the society are clearly formulated. Interpreting the results and the originality of the paper, trust building and responsibility sharing in cross-industrial collaborations are fundamental to reduce social uncertainties, override the popular or science fiction narratives and increase the future well-being.

Research limitations/implications

The length of textual responses did not allow a deeper analysis. However, for professional reasons, participants were committed to completing the survey.

Practical implications

The paper suggests for business and policymaking to identify the AI technology as a tool distinguishing from tech-owners’ responsibilities. Therefore, the implications of the study support a reliable AI and also potential for cross-industrial collaborations.

Originality/value

The paper highlights the uncertainties of business investment and policymaking to encourage a comparative research project in the EU for trustworthy AI. Similar exploratory studies with the same focus, sample and outcome are not available yet

Keywords

Acknowledgements

Sincere gratitude to the Fulbright Research Grant for the opportunity to work on this project. Grant number: 1221101. This paper was also supported by the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences. Grant number: BO/00045/19/9.

Declaration of interest: The authors declare that they have not known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The authors have agreed to the submission, and the article is not currently being considered for publication by any other print or electronic journal.

Citation

Feher, K. and Veres, Z. (2023), "Trends, risks and potential cooperations in the AI development market: expectations of the Hungarian investors and developers in an international context", International Journal of Sociology and Social Policy, Vol. 43 No. 1/2, pp. 107-125. https://doi.org/10.1108/IJSSP-08-2021-0205

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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