Artificial Intelligence in Iran's Public Administration: Opportunities, Challenges, and Strategic Approaches for Governance Innovation
DOI:
https://doi.org/10.63053/ijmea.38Keywords:
Artificial intelligence · Public sector · Government departments · Policies · Transforming government servicesAbstract
Artificial Intelligence (AI) has become a powerful tool across various sectors, offering considerable promise for improving government operations, societal well-being, and economic growth. However, the lack of a clear consensus on its definition and scope limits its effective use in government contexts. This article delves into the diverse methodologies, objectives, and focuses within AI, with a particular emphasis on its potential to enhance human capabilities in high-stakes situations. While AI has already demonstrated tangible benefits, such as increased productivity in pioneering government agencies, the article examines the potential advantages and challenges of AI integration within the public sector. By addressing cross-disciplinary obstacles like language barriers and service delays, the study underscores the need for a comprehensive understanding of the risks, barriers, and incentives involved in utilizing AI for governmental purposes. The goal of this study is to shed light on AI’s ultimate objectives, including manipulating objects, processing natural language, and improving reasoning capabilities. Furthermore, by analyzing both the advantages and drawbacks of AI in government services, this research highlights how AI can drive increased productivity, streamline processes, and reduce burdens. Organizational theory is used to address challenges and explore how AI’s potential can be maximized within public services. This theoretical framework helps to better understand the benefits, opportunities, and hurdles in deploying AI in government services. The findings of the research offer insights into how AI could revolutionize public service delivery, spark innovation, and improve efficiency. The study raises important questions about the role of organizational theory in facilitating AI adoption in government, the difficulties faced by governments in integrating AI, and the potential benefits AI can bring to public service delivery. The research suggests a strategic approach to adopting AI in the public sector, emphasizing the need to consider organizational, ethical, and societal implications, while recognizing the transformative potential of AI in government service provision.
References
Mohammadi, M. (2025). Artificial Intelligence Adoption in Iran: A Comparative Analysis with Global Trends. Journal of Technology Management, 14(2), 123–130.
Sharif University of Technology, AI Strategy Center. (2024). Iran Artificial Intelligence Index 1403: A Comprehensive and Data-Driven Analysis. Retrieved from aistrategy.tsc.sharif.ir.
Rakhshai, A. (2025). The Role of Artificial Intelligence in Iran's Future: An Analysis of the National AI Document and Prospects. AI Journal of Iran, 9(1), 45–53.
Heyva AI Research Group. (2023). Artificial Intelligence in Iran: Status and Applications. Retrieved from heyvaai.com.
Amerandish Intelligent Systems. (2024). Iran's Position and Status in Artificial Intelligence: A Detailed Overview. Retrieved from amerandish.com.
Tavana News Agency. (2024). An Analysis of Artificial Intelligence Trends in Iran. Retrieved from tavananews.ir.
Hamrah Academy. (2023). The State of Artificial Intelligence in Iran: An Overview of 27 Leading AI Companies. Retrieved from hamrah.ac.
Karnakon. (2023). Applications of Artificial Intelligence in Iran: Six Domains Conquered by AI. Retrieved from karnakon.ir.
Economics Gate. (2024). Global AI Adoption Index and Iran's Position. Retrieved from economicsgate.com.
Peivast Magazine. (2024). Iran's AI Indicators Report 1403: Are We Lagging Behind?. Retrieved from peivast.com.
Majlis Research Center. (2024). AI Governance: Concepts, Dimensions, and Components. Retrieved from rc.majlis.ir.
International Relations Think Tank. (2024). Artificial Intelligence and Governance in Iran. Retrieved from irthink.com.
Mir Emadi, T., & Rahimi Rad, Z. (2016). Identifying System Failures in the Analysis of Technological Innovation Systems in Biofuel in Iran. Science and Technology Policy Journal, 8(1), 27–41. Retrieved from ensani.ir.
Majlis Research Center. (2024). AI Governance: The Role of AI in Enhancing Iran’s Administrative System. Retrieved from report.mrc.ir.
Hooshio AI News. (2024). The Role of AI in Governance in Iran: From Theory to Practice. Retrieved from hooshio.com.
Sharif University of Technology AI Research Group. (2024). Iran Artificial Intelligence Index: A Comprehensive Data-Driven Report. Retrieved from aistrategy.tsc.sharif.ir.
Iran Academy of Science and Technology. (2024). The Future of AI in Iran: National Strategy and Challenges. Journal of Science and Innovation, 10(3), 78–91.
Zaheri, M. H. (2023). The Relationship Between AI and Governance in Iran. Center for Development and Foresight Studies, 5(3), 45–60. Retrieved from cdrf.ir.
Iran ICT Ministry AI Report. (2023). AI Governance in Iran: Legal and Policy Frameworks. Retrieved from ict.gov.ir.
Tavana News Agency. (2024). Analysis of AI Trends in Iran. Retrieved from tavananews.ir.
Iranian Journal of AI and Innovation. (2024). The Role of Artificial Intelligence in Digital Transformation in Iran. AI Journal of Iran, 9(2), 34–48.
Peivast Technology Review. (2024). Iran’s AI Indicators Report 1403: Are We Lagging Behind?. Retrieved from peivast.com.
Heyva AI Research Group. (2023). Artificial Intelligence in Iran: Current Status and Applications. Retrieved from heyvaai.com.
Amerandish Intelligent Systems. (2024). Iran’s Position and Status in Artificial Intelligence: A Detailed Overview. Retrieved from amerandish.com.
Karnakon AI Research. (2023). AI Applications in Iran: Six Sectors Transforming with AI. Retrieved from karnakon.ir.
Iran Economics Gate. (2024). Global AI Adoption Index and Iran’s Competitive Position. Retrieved from economicsgate.com.
Islamic Humanities Knowledge Network. (2023). Artificial Intelligence Governance: Concepts, Dimensions, and Components. Retrieved from ihkn.ir.
Rakhshai AI Magazine. (2023). Exploring the Role of AI in Iran’s Future: A Review of the National AI Document and Prospects. Retrieved from rakhshai.com.
Hooshio AI Think Tank. (2024). The Role of AI in Public Sector Innovation in Iran. Retrieved from hooshio.com.
Iranian Society for AI and Robotics. (2024). Artificial Intelligence in Government: The Iranian Experience. Journal of Robotics and AI Research, 11(1), 55–68.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
License Terms
The International Journal of Applied Research in Management, Economics and Accounting (IJMEA) publishes its articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license promotes the broad dissemination and reuse of published research while ensuring that appropriate credit is given to the original authors.
Creative Commons Attribution 4.0 International License
Unless otherwise stated, all articles published by IJMEA are licensed under the CC BY 4.0 License.
Under this license, users are permitted to:
-
Share — copy and redistribute the material in any medium or format.
-
Adapt — remix, transform, and build upon the material for any purpose, including commercial purposes.
These permissions are granted provided that appropriate attribution is given to the original authors and the source of the publication.
Attribution Requirements
When reusing or adapting an IJMEA article, users should:
-
Give appropriate credit to the author(s).
-
Provide the title of the article.
-
Identify IJMEA as the original publication venue.
-
Provide a link to the applicable Creative Commons license.
-
Indicate whether changes were made to the original material.
-
Avoid suggesting that the original authors or IJMEA endorse the reuse.
An appropriate attribution may include:
"Author(s), [Article Title], International Journal of Applied Research in Management, Economics and Accounting (IJMEA), [Year]. Licensed under CC BY 4.0."
Copyright
Copyright remains with the author(s) of the published work.
By submitting a manuscript to IJMEA and upon acceptance for publication, authors grant the journal the non-exclusive rights necessary to publish, reproduce, distribute, archive, and make the article publicly available.
The CC BY 4.0 license allows others to reuse the published work in accordance with the terms of the license while preserving the authors' copyright.
Author Rights
Authors retain the right to:
-
Share and distribute their published work.
-
Deposit the article in institutional or subject repositories.
-
Use the article for educational and research purposes.
-
Include the article in a thesis or dissertation.
-
Create derivative works based on the article.
-
Enter into separate non-exclusive agreements for additional distribution of the work, provided that the original publication by IJMEA is properly acknowledged.
Third-Party Material
Authors are responsible for ensuring that any third-party material included in their manuscript is appropriately credited and can legally be published under the applicable license.
Material that is not covered by the CC BY 4.0 license should be clearly identified, where applicable, and may require separate permission from the copyright holder.
License Statement
The following statement should appear on published articles:
© [Year] The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
For more information about the license, readers may consult the official Creative Commons Attribution 4.0 International License terms.
Transparency and Open Access
IJMEA is committed to making scholarly research openly accessible while respecting authors' copyright and promoting responsible reuse of published academic work.
The application of the CC BY 4.0 license supports the journal's open-access policy and enables researchers, educators, institutions, and other users to access, share, and build upon published research with appropriate attribution.
