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Between exploitation and resilience: Reconciling AI’s role in surveillance capitalism and disaster risk management | ||
| Journal of Cyberspace Studies | ||
| دوره 10، شماره 1، فروردین 2026، صفحه 109-139 اصل مقاله (514.68 K) | ||
| نوع مقاله: Original article | ||
| شناسه دیجیتال (DOI): 10.22059/jcss.2025.396045.1165 | ||
| نویسندگان | ||
| Mohammad Sharif Sharifi Poor Bgheshmi1؛ Mahsa Sharajsharifi* 2؛ Mohammad Reza Saeidabadi3 | ||
| 1Department of Civil Engineering, Structural Engineering, Azad University, Qeshm, Iran. | ||
| 2Department of Architectural Engineering, Azad University, North Tehran Branch, Iran. | ||
| 3Department of European Studies, Faculty of World Studies, University of Tehran, Tehran, Iran. | ||
| چکیده | ||
| Background: This study explores the paradoxical role of artificial intelligence as both a tool of exploitation within surveillance capitalism and a force for resilience in disaster risk management, highlighting the ethical and governance challenges that arise at the intersection of these domains. Aims: This article aims to enable the ethical use of AI in DRM while insulating public systems from the structural harms of commercial data exploitation. Methodology: Drawing from a comparative qualitative analysis of 35 academic sources, the study investigates how BigTech corporations and data brokers leverage AI to commodify personal data, consolidate informational power, and erode democratic agency. Results: The present study critically examines the dual role of artificial intelligence in contemporary digital society, contrasting its exploitative deployment within surveillance capitalism with its constructive use in disaster risk management (DRM). Simultaneously, it highlights a parallel body of research showcasing AI’s capacity to enhance early warning systems, situational awareness, and post-disaster recovery, especially in resource-constrained and climate-vulnerable regions. Conclusion: To reconcile these conflicting trajectories, the article proposes the Public AI for Resilience (PAIR) framework—a governance model grounded in data sovereignty, public infrastructure, algorithmic explainability, and cross-sectoral collaboration. Ultimately, the article argues for a normative recalibration of AI governance that prioritizes equity, transparency, and collective resilience over market imperatives, demonstrating that AI’s public good potential can be realized without surrendering to surveillance-based capitalism. | ||
| کلیدواژهها | ||
| artificial intelligence؛ BigTech accountability؛ data governance؛ disaster risk management؛ ethical technology؛ surveillance capitalism | ||
| مراجع | ||
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