An Analytical Strategy For Understanding The Trajectory of Development Of Artificial Intelligence In Iran

Document Type : editor

Authors

1 Graduate School of Management and Economics, Sharif University of Technology, Tehran, Iran

2 Graduate School of Management and Economics, Sharif University of Technology, Tehran, Iran.

Abstract

This editorial aims to provide an analytical framework for understanding the trajectory of artificial intelligence (AI) development by examining four key macro-challenges in AI policymaking: 1) the lack of consensus on the definition and scope of AI technologies, 2) the wide diversity of AI applications and implications, which has led to complexities in formulating general public policies or sector-specific regulations, 3) the conflict of interests among various stakeholders (e.g., government, private sector, and society), which has made policy consensus difficult to achieve, and 4) the tension between international cooperation and national legal and policy frameworks, confronting policymakers with the duality of techno-nationalism and techno-globalism. Drawing on the "large technical systems" framework, this editorial analyzes AI development as a multidimensional phenomenon and explores its five developmental stages. In this context, while introducing the special issue "Artificial Intelligence and the Future of Iran: Questions, Challenges, and Opportunities," it is demonstrated that the articles within this issue address the infrastructural, legal, ethical, and practical dimensions of AI in Iran, each examining a segment of this large technical system through its own analytical lens. Ultimately, it is proposed that the dual frameworks of AI macro-challenges and its study as a large technical system can foster coordination among researchers in this field and create conditions for designing and implementing a cohesive and effective AI policy.

Keywords

References

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Journal of Science and Technology Policy
Volume 17, Issue 3 - Serial Number 63
AI
September 2024
Pages 1-8

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