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ORIGINAL RESEARCH article

Front. Artif. Intell.
Sec. Technology and Law
Volume 7 - 2024 | doi: 10.3389/frai.2024.1447171

Political ideology shapes support for the use of AI in policy-making

Provisionally accepted
Tamar Gur Tamar Gur 1*Boaz Hameiri Boaz Hameiri 2Yossi Maaravi Yossi Maaravi 1
  • 1 Reichman University, Herzliya, Tel Aviv District, Israel
  • 2 Tel Aviv University, Tel Aviv, Tel Aviv, Israel

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

    In a world grappling with technological advancements, the concept of Artificial Intelligence (AI) in governance is becoming increasingly realistic. While some may find this possibility incredibly alluring, others may see it as dystopian. Society must account for these varied opinions when implementing new technologies or regulating and limiting them. This study (N = 703) explored Leftists' (liberals) and Rightists' (conservatives) support for using AI in governance decisionmaking amidst an unprecedented political crisis that washed through Israel shortly after the proclamation of the government's intentions to initiate reform. Results indicate that Leftists are more favorable towards AI in governance. While legitimacy is tied to support for using AI in governance among both, Rightists' acceptance is also tied to perceived norms, whereas Leftists' approval is linked to perceived utility, political efficacy, and warmth. Understanding these ideological differences is crucial, both theoretically and for practical policy formulation regarding AI's integration into governance.

    Keywords: Artificial intelligence (AI), political ideology, Artificial Intelligence in Governance, technology acceptance, governance

    Received: 17 Jun 2024; Accepted: 14 Oct 2024.

    Copyright: © 2024 Gur, Hameiri and Maaravi. 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: Tamar Gur, Reichman University, Herzliya, Tel Aviv District, Israel

    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.