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از هژمونی الگوریتمی تا حاکمیت فناورانه: نقد اقتصاد سیاسی حکمرانی درونی هوش مصنوعی و طراحی استاندارد پیشنهادی «الگوریتم پارسا» | ||
| مطالعات حکمرانی اسلامی | ||
| دوره 2، شماره 1 - شماره پیاپی 3، اردیبهشت 1405، صفحه 362-337 اصل مقاله (3.78 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22081/jislamicgo.2026.74176.1061 | ||
| نویسنده | ||
| سید مهدی مجیدی نظامی* | ||
| استادیار، گروه سازماندهی اطلاعات، پژوهشکده مدیریت اطلاعات و مدارک اسلامی، پژوهشگاه علوم و فرهنگ اسلامی، قم، ایران | ||
| تاریخ دریافت: 17 بهمن 1404، تاریخ بازنگری: 12 فروردین 1405، تاریخ پذیرش: 23 فروردین 1405 | ||
| چکیده | ||
| در بحبوحه رقابت جهانی بر سر تنظیمگری هوش مصنوعی، این پژوهش مدل «حکمرانی درونی» را بهطور انتقادی تحلیل کرده است. مسئله اصلی، عبور از دوگانه «تنظیمگری دولتی» در برابر «خودتنظیمی» و واکاوی سازوکارهای شرکتهای بزرگ فناوری برای تبدیل استانداردهای فنی به ابزار قدرت سیاسی و اقتصادی است. این پژوهش کیفی با بهرهگیری از روش «تحلیل گفتمان انتقادی» و در چارچوب اقتصاد سیاسی ارتباطات انجام شده است. دادهها شامل اسناد رسمی، فنی و سیاستی سه شرکت پیشروی آمریکایی (Open AI Google DeepMind, Anthropic, ) بهعنوان معماران اصلی گفتمان «ایمنی» و مدل حکمرانی مبتنی بر سرمایهگذاری خطرپذیر است. حکمرانی درونی از طریق معماری سهلایه فنی، سیاستی و سازمانی اعمال میشود و سه کارکرد اصلی دارد: ۱) ایجاد موانع ورود از طریق افزایش هزینههای انطباق، ۲) «تسخیر نرم مقررات» برای پیشدستی بر قانونگذاری دولتی، و ۳) تثبیت «هژمونی الگوریتمی» که ارزشهای اکوسیستم فناوری آمریکا را جهانیسازی میکند. حکمرانی درونی یک پروژه ژئوپلیتیک برای حفظ انحصار فناورانه است. نوآوری پژوهش، طراحی «الگوی سوم حکمرانی» از طریق ارائه استاندارد پیشنهادی «الگوریتم پارسا» بهعنوان بدیلی بومی در برابر استانداردهای سیلیکونولی است. این استاندارد چارچوبی فنی برای ممیزی و سنجش انطباق هوش مصنوعی با ارزشهای بنیادین ایران و گذار از «مصرفکننده منفعل» به «حکمران فناورانه فعال» فراهم میکند. | ||
| کلیدواژهها | ||
| حکمرانی؛ هوش مصنوعی؛ استاندارد الگوریتم پارسا؛ حاکمیت فناورانه؛ اقتصاد سیاسی فناوری؛ هژمونی الگوریتمی | ||
| عنوان مقاله [English] | ||
| From Algorithmic Hegemony to Technological Sovereignty: A Critique of the Political Economy of the Internal Governance of Artificial Intelligence and the Design of the Proposed "Parsa Algorithm" Standard | ||
| نویسندگان [English] | ||
| Sayyed Mahdi Majidi Nezami | ||
| Assistant Professor, Department of Information Organization, Research Center for Islamic Information and Document Management, Islamic Sciences and Culture Academy, Qom, Iran | ||
| چکیده [English] | ||
| Amidst the global competition over "artificial intelligence regulation," the present article critically examines a model it terms "internal governance"; a model in which big tech companies are not merely subject to external rules, but are themselves the designers of norm-setting and standard-setting mechanisms in the field of artificial intelligence. The central problem of the research is to transcend the conventional dichotomy of "state regulation" versus "self-regulation"; because this dichotomy alone is incapable of demonstrating how ostensibly neutral technical standards can be transformed into instruments of political and economic power. The article argues that leading companies, by formulating discourses such as "safety," and relying on internal technical, policy, and organizational mechanisms, turn technical standards into mechanisms of exerting influence; in such a way that its consequence can be the formation of "algorithmic hegemony" and the consolidation of technological monopoly. From this perspective, the issue is not merely the regulation of a technology, but rather the power relations at the level of the political economy of technology and its geopolitical consequences: who writes the rules of the artificial intelligence game, how they globalize it, and place others in a position of subordination. The primary objective of the research is the critical analysis of "internal governance" in the domain of artificial intelligence and the exploration of the mechanisms through which big tech companies transform technical standards into instruments of political-economic power. Alongside this explanatory objective, the article also seeks to present an alternative: designing a "third model of governance" through proposing the "Parsa Algorithm" standard as a localized option against the dominant standards of Silicon Valley; an option that can provide a technical framework for auditing and assessing the compliance of artificial intelligence with the "fundamental values of Iran" and strengthen the possibility of transitioning from the status of a "passive consumer" to an "active technological governor." The current research seeks to answer the problem of: how does the "internal governance" of large artificial intelligence companies transcend the state regulation/self-regulation dichotomy through transforming technical standards into mechanisms of influence, and lead to the creation of political-economic power and the consolidation of algorithmic hegemony? And based on this, how can the "third model of governance," relying on the proposed "Parsa Algorithm" standard, create a framework for auditing and value-orienting artificial intelligence in Iran as a localized alternative? This is a qualitative research conducted using the "critical discourse analysis" method and formulated within the framework of the "political economy of communications." The research data include the official, technical, and policy documents of three leading American companies—Open AI, Google DeepMind, and Anthropic—which are introduced in the article as the principal architects of the "safety" discourse as well as the governance model based on venture capital. The methodological focus of the research is on extracting the discursive logic and institutional mechanisms that, through documents and procedures, lead to standardization and rulemaking affecting the public policymaking environment. The findings of this research indicate that the internal governance model of big artificial intelligence companies is implemented through a three-layered technical, policy, and organizational architecture. This mechanism allows companies to restrict the entry of new actors into the technological ecosystem by creating structural barriers and increasing compliance costs. Internal governance, through the "soft capture of regulations," preemptively shapes the state legislative space and globalizes its desired standards in the form of the safety discourse and the values of the American technological ecosystem, so that formal regulations are often compelled to comply with the framework of leading companies. Consequently, algorithmic hegemony is formed; meaning that the values and criteria determined by American companies are accepted as a global model and indicator, and other countries and technological actors are driven to follow them. This mechanism, in addition to economic and policy dimensions, is also subject to geopolitical logic and operates as a project to preserve Western technological monopoly. Accordingly, the innovation of the research lies in introducing the "third model of governance" and the localized "Parsa Algorithm" standard, which provides a way to assess and audit artificial intelligence based on the fundamental values of Iran, and to transition from a space of passive consumerism to active technological sovereignty. The results suggest that focusing on the dichotomy of "state regulation" versus "self-regulation" is insufficient for understanding the reality of artificial intelligence governance; because big companies transform technical standards into instruments of exercising power through the path of "internal governance" and with a three-layered technical-policy-organizational architecture: both by raising compliance costs, by preempting the shaping of regulations, and by consolidating the algorithmic hegemony that globalizes the values of the American technological ecosystem. Against this situation, the proposal of the "Parsa Algorithm" as a localized standard opens the path for designing the "third model of governance" so that the possibility of technical auditing of artificial intelligence based on the fundamental values of Iran is provided, and the country moves from the role of a "passive consumer" toward "active technological sovereignty." | ||
| کلیدواژهها [English] | ||
| Governance, Artificial intelligence, Parsa algorithm standard, Technological sovereignty, Political economy of technology, Algorithmic hegemony | ||
| مراجع | ||
|
قرآن کریم.
خامنهای، سید علی (06/06/1403). بیانات در دیدار با رئیسجمهور و اعضای هیئت دولت چهاردهم. قابل دسترس در: https://farsi.khamenei.ir/speech-content?id=57426
شکوهیانراد، محمدعلی (۱۴۰۴). ضرورتهای حکمرانی فضای سایبر از منظر امام خامنهای. مطالعات حکمرانی اسلامی، ۱(2)، ص۲۳۹–۲۶۶. https://doi.org/10.22081/jislamicgo.2025.71981.1028
Bai, Y., Kadavath, S., Kundu, S., Askell, A., Kernion, J., Jones, A., … Kaplan, J. (2022). Constitutional AI: Harmlessness from AI feedback. arXiv. https://doi.org/10.48550/arXiv.2212.08073 Bietti, E. (2020). From ethics washing to ethics bashing: A view on tech ethics from within moral philosophy. In: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (FAT ’20) (pp. 210–219). Association for Computing Machinery. https://doi.org/10.1145/3351095.3372860
Birhane, A., Kalluri, P., Card, D., Agnew, W., Dotan, R. & Bao, M. (2023). The values encoded in machine learning research. In: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’23) (pp. 1735–1746). Association for Computing Machinery. https://doi.org/10.1145/3593013.3594087
Christiano, P., Leike, J., Brown, T., Martic, M., Legg, S. & Amodei, D. (2017). Deep reinforcement learning from human preferences. Advances in Neural Information Processing Systems, 30. URL= https://proceedings.neurips.cc/paper_files/paper/2017/hash/d5e2c0adad503c91f91df240d0cd4e49-Abstract.html Couldry, N. & Mejias, U.A. (2019). The costs of connection: How data is colonizing human life and appropriating it for capitalism. Stanford University Press.
European Commission. (2021). Proposal for a regulation laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) (COM/2021/206 final). URL= https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52021PC0206 European Commission. (2024). Artificial Intelligence Act (Regulation (EU) 2024/1689): Harmonised rules on artificial intelligence. URL= https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai Fairclough, N. (2010). Critical discourse analysis: The critical study of language (2nd ed.). Routledge. https://doi.org/10.4324/9781315834368
Federal Register. (2023). Executive order on the safe, secure, and trustworthy development and use of artificial intelligence (No. 2023-24283). URL= https://www.federalregister.gov/documents/2023/11/01/2023-24283/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence Floridi, L. (2013). The ethics of information. Oxford University Press.
Google. (2023, July 18). Google’s AI red team: The ethical hackers making AI safer. Google Blog. URL= https://blog.google/technology/safety-security/googles-ai-red-team-the-ethical-hackers-making-ai-safer/
Google. (2024). Generative AI prohibited use policy. URL= https://policies.google.com/terms/generative-ai/use-policy Guha, N., Ho, D.E. & Kogan, I. (2024). AI regulation has its own alignment problem: The technical and institutional feasibility of disclosure, registration, licensing, and auditing. The George Washington Law Review, 92(6), p. 1473-1557. https://dho.stanford.edu/wp-content/uploads/AI_Regulation.pdf Inserra, D. (2024). Artificial intelligence regulation threatens free expression (Briefing Paper No. 178). Cato Institute. URL= https://www.cato.org/briefing-paper/artificial-intelligence-regulation-threatens-free-expression IT for Change. (2023). Reframing AI governance through a political economy lens. WACC Global. URL= https://waccglobal.org/reframing-ai-governance-through-a-political-economy-lens/ Lessig, L. (1999). Code and other laws of cyberspace. Basic Books.
Mäntymäki, M., Heikkilä, J., Merikivi, J. & Dao, T. (2022). The hourglass model of organizational AI governance. arXiv.
Microsoft. (2025). Microsoft AI red team. URL= https://learn.microsoft.com/en-us/security/ai-red-team/ Mosco, V. (2009). The political economy of communication (2nd ed.). SAGE.
National Security Commission on Artificial Intelligence. (2021). Final report. URL= https://reports.nscai.gov/final-report/table-of-contents/ Noble, S.U. (2018). Algorithms of oppression: How search engines reinforce racism. New York University Press.
OECD. (2019). OECD principles on artificial intelligence. OECD. URL= https://oecd.ai/en/ai-principles Open AI. (2023). GPT‑4 system card. https://cdn.openai.com/papers/gpt-4-system-card.pdf
Open AI. (2024). Terms of use. Open AI. https://openai.com/policies/row-terms-of-use
Open AI. (2025). Usage policies. https://openai.com/policies/usage-policies
Radin, M. J. (2013). Boilerplate: The fine print, vanishing rights, and the rule of law. Princeton University Press.
Scharre, P. (2023). Four battlegrounds: Power in the age of artificial intelligence. W. W. Norton & Company.
Shad, B. (2025). Algorithmic hegemony: AI, political elites, and the reinvention of electoral influence. Journal of Sociocybernetics, 20(1), p. 1-31. https://papiro.unizar.es/ojs/index.php/rc51-jos/article/view/11599 Silicon Valley Leadership Group. (2024). About SVLG. URL= https://www.svlg.org
Tan, Z.-X., Carroll, M., Franklin, M. & Ashton, H. (2024). Beyond preferences in AI alignment. arXiv. URL= https://arxiv.org/abs/2408.16984
The White House. (2023). Executive order on the safe, secure, and trustworthy development and use of artificial intelligence. URL= https://bidenwhitehouse.archives.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/
U.S. AI Regulation Study. (2024). The U.S. approach to AI regulation: Federal laws, policies, and governance. SSRN. URL= https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4931927 Wagner, B. (2018). Ethics as an escape from regulation: From “ethics‑washing” to ethics‑shopping? In: E. Bayamlioğlu, I. Baraliuc, L. Janssens, & M. Hildebrandt (Eds.), Being profiled: Cogitas ergo sum. 10 years of “Profiling the European Citizen” (pp. 84–88). Amsterdam University Press. https://doi.org/10.25969/mediarep/13281 Wei, K., Ezell, C., Gabrieli, N. & Deshpande, C. (2024). How do AI companies “fine‑tune” policy? Examining regulatory capture in AI governance. arXiv. https://doi.org/10.48550/arXiv.2410.13042 Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs. | ||
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آمار تعداد مشاهده مقاله: 108 تعداد دریافت فایل اصل مقاله: 44 |
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