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ORIGINAL RESEARCH article

Front. Artif. Intell.

Sec. AI for Human Learning and Behavior Change

Volume 8 - 2025 | doi: 10.3389/frai.2025.1661266

This article is part of the Research TopicNew Trends in AI-Generated Media and SecurityView all 3 articles

Artificial Intelligence as a Tool to Enhance Social Interventions in Reducing Crime

Provisionally accepted
Haya Hussien TarawnehHaya Hussien Tarawneh1,2*Niveen HalalshehNiveen Halalsheh1,2Bahjat Abu SulaimanBahjat Abu Sulaiman3Huda AlhajjajHuda Alhajjaj1,2Nesreen Nabil AtiehNesreen Nabil Atieh1,2
  • 1The University of Jordan, Aljubeiha, Jordan
  • 2the university of jordan,Faculty of Arts, amman, Jordan
  • 3ICSC, Saudi Arabia, Saudi Arabia

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This study explores the significant role of artificial intelligence (AI) in crime reduction, identifies the main challenges hindering its implementation, and examines the differences in coping strategies between individuals in Jordan and Saudi Arabia. The research surveyed 170 AI professionals, equally divided between the two countries, with an average age of 45.2 years. Data were collected using a specially designed questionnaire assessing perceptions of AI, barriers to adoption, and coping mechanisms. The results showed that there was a role of artificial intelligence in reducing crim with a high level, there was a challenge facing AI in reducing crim with a high level and the style of coping artificial intelligence in reducing crim with a high level. and the results of the study showed that there were no statistically significant differences in the level of challenges facing AI between Jordanian and Saudi societies. This research contributes to understanding AI's practical applications in crime prevention and offers valuable insights for policymakers to strengthen AI adoption and overcome existing barriers in the region.

Keywords: artificial intelligence, Social interventions, Crime, Enhance Social, tool

Received: 07 Jul 2025; Accepted: 27 Aug 2025.

Copyright: © 2025 Tarawneh, Halalsheh, Abu Sulaiman, Alhajjaj and Atieh. 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: Haya Hussien Tarawneh, The University of Jordan, Aljubeiha, Jordan

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.

Supplementary Material