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ORIGINAL RESEARCH article

Front. Comput. Sci.
Sec. Human-Media Interaction
Volume 6 - 2024 | doi: 10.3389/fcomp.2024.1462250

AI and Cybersecurity: A Risk Society Perspective

Provisionally accepted
Simona N. Vulpe Simona N. Vulpe 1*Razvan Rughiniș Razvan Rughiniș 2Dinu Țurcanu Dinu Țurcanu 3Daniel Rosner Daniel Rosner 2
  • 1 University of Bucharest, Bucharest, Romania
  • 2 Polytechnic University of Bucharest, Bucharest, Romania
  • 3 Technical University of Moldova, Chișinău, Moldova

The final, formatted version of the article will be published soon.

    The rapid evolution of Artificial Intelligence (AI) has introduced transformative potential across various sectors, while simultaneously posing significant cybersecurity risks. The aim of this paper is to examine the debates on AI-related cybersecurity risks through the lens of Beck’s theory of the risk society. Utilizing thematic content analysis, we explored public discourse on AI and cybersecurity as presented in articles published by WIRED. Our analysis identified several key themes: the global nature of AI risks, their pervasive influence across multiple sectors, the alteration of public trust, the individualization of risk, and the uneven distribution of AI risks and benefits. The editorial choices in WIRED predominantly favor a functionalist and solutionist perspective on AI cybersecurity risks, often marginalizing the opinions of ordinary individuals and non-Western voices. This editorial bias tends to limit diversity and underrepresent key opposing viewpoints, potentially hindering a more comprehensive and nuanced debate on AI and cybersecurity issues.

    Keywords: artificial intelligence, cybersecurity, risk society, reflexivity, Wired, Thematic content analysis

    Received: 10 Jul 2024; Accepted: 18 Oct 2024.

    Copyright: © 2024 Vulpe, Rughiniș, Țurcanu and Rosner. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Simona N. Vulpe, University of Bucharest, Bucharest, Romania

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.