MILITARY MANAGEMENT QUARTERLY

MILITARY MANAGEMENT QUARTERLY

Examining the challenges and opportunities of artificial intelligence in governance and policymaking in the Islamic Republic of Iran

Document Type : Research Paper

Authors
1 Faculty member of Imam Hussein University
2 PhD Graduate and Researcher, Malek-Ashtar University of Technology, Tehran, Iran
3 PhD student at Imam Hussein University
10.22034/iamu.2025.2071237.3213
Abstract
The emergence and increasing development of artificial intelligence has affected various areas of human life, including governance, and its role in governance and is rapidly expanding. Since artificial intelligence will be a transformative technology in the coming years, a strategy in the development of various aspects of social life, therefore, addressing its challenges in governance in the country makes it doubly important.
The purpose of this article is to examine the challenges and opportunities of artificial intelligence in governance and in the Islamic Republic of Iran. The present research method is mixed (qualitative-quantitative), first, the challenges and opportunities of artificial intelligence in governance will be assessed by reviewing the statistical literature and then by preparing a questionnaire, the challenges and opportunities will be assessed. The data collection tool is a researcher-made questionnaire, the content and face validity of which has been approved by experts in this field, and the reliability of the questionnaire is confirmed with a statistic of 0.816. The statistical population of the study consists of professors fand the sampling was purposeful and 25 in number due to the specialization of the subject. In data analysis, and SPSS artificial intelligence software were used, and the t-test was used to confirm the challenges and opportunities, and the Kendall-Wallis test was used to rank the challenges.
Research findings: The research challenges were categorized into 7 dimensions (security, political, economic,
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Subjects


Articles in Press, Accepted Manuscript
Available Online from 06 December 2025