Algorithmic dependency: The impact of technological monopoly on developing societies; Case study: The Islamic Republic of Iran

Background: Beyond being a mere technical tool, Artificial Intelligence (AI) is a socio-political phenomenon that redefines the identity, social, and political structures of developing nations.Aims: This study analyzes the mechanisms of "algorithmic dependency" and its consequences on national identity, social cohesion, and political development, with a specific focus on Iran.Methodology: Employing a qualitative approach and an analytical case study strategy, this research utilizes systematic documentary research. Findings are interpreted through the theoretical lenses of the "Social Construction of Technology" (SCOT) and the "Digital Divide", ensuring validity via data triangulation.Findings: The results indicate that the algorithmic monopoly of global powers fosters "digital colonialism" and erodes political agency. In Iran, the intersection of cultural biases in imported algorithms with a "structural lag" in governance facilitates "silent othering" and social polarization. Furthermore, by engineering citizen expectations, AI exacerbates the "crisis of efficiency" at sovereign levels.Conclusion: Safeguarding political independence and social identity requires a transition toward proactive policymaking and indigenous infrastructure. The study concludes that "smart regulation", developing national AI models, and enhancing algorithmic literacy are essential strategies to strengthen citizen resilience and protect data sovereignty against transnational algorithmic influence.

کلیدواژه ها:

algorithmic dependency ، Artificial Intelligence ، Developing Countries ، Digital Divide ، Digital governance ، National Resilience