Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Artificial Intelligence in Iran

National Narratives and Material Realities

Bibliographic Data

ID9979780
AuthorsBlake Atwood (0000-0002-7794-2958, American University of Beirut, corresponding author)
Year2025
Volume58
Issue4
Pages680-697
Publication date2025-03-19
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueIranian Studies (JOURNAL)
Journal identifiersISSN: 0021-0862 • E-ISSN: 1475-4819
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/irn.2024.63
OpenAlexW4408630455
LanguageEN
Citations received2

This article challenges the dominant narrative of AI in Iran as a symbol of national success and technological sovereignty by examining its materiality. The Iranian government often underscores AI’s role in countering sanctions and securing national interests. However, this national narrative overlooks the complex realities of AI’s implementation. By examining the material endpoints of AI – such as data centers, supercomputers, and digital labor – this article reveals a fragmented vision of AI, one that is entangled with global neoliberal practices. The analysis uncovers the sociopolitical and economic forces shaping AI in Iran, arguing that it reflects both the nation’s ambitions and its vulnerabilities, offering a nuanced perspective on AI and its role in contemporary Iranian society

Art · Literature · Narrative · Political science · Blockchain Technology Applications and Security · History

  • Probing into the use of politeness strategies in human-chatbots conversations

    Open Access•Mansooreh Amiri, Akram Ramezanzadeh•Ampersand•2026

  • Political economy, institutional work, and AI development trajectory in a developing country

    Ali Babaee, Ebrahim Souzanchi Kashani•Third World Quarterly•2025

Unique citing works2
Citations per year2
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae