Artificial Intelligence and the Future of Democracy: Challenges and Opportunities in the Age of Algorithms
DOI:
https://doi.org/10.25130/jfa.conf.10.4.6Keywords:
Artificial Intelligence (AI), Digital Democracy, Political Algorithms, Technological Innovation, Technological GovernanceAbstract
Among the pressing challenges confronting the contemporary political landscape is the rapid rise of Artificial Intelligence (AI), whose potential impacts remain insufficiently explored in the domains of public affairs, data processing, and policy-making. Within this context, the present study examines the complex relationship between AI and political participation. It adopts both a theoretical and empirical approach to assess how AI influences mechanisms of political engagement, the realization of citizenship, and processes of governance.
Downloads
References
المراجع العربية
1. محمد المطري. (5 ديسمبر, 2024). تأثير الذكاء الاصطناعي على أمن المعلومات. تم الاسترداد من شبكة ليزر: https://lezrweb.com/2024/12/05/تأثير-الذكاء-الاصطناعي-على-أمن-المعلومات /?srsltid=AfmBOoqfycrUMJfusZ4f-sxD68z_nFmUrD6lKECvB7xJ_RaCrTNcPUpJ&utm_source=chatgpt.com
2. رشا الحربي. (العدد 48, 2022). الاستبداد التكنولوجي وتحديات الحريات الرقمية. مجلة العلوم السياسية والقانون.
3. علي غسان سامي. (25 تشرين الاول, 2023). توظيف الذكاء الاصطناعي في عملية صنع القرار السياسي الخارجي. مجلة كلية القانون والعلوم السياسية، الصفحات 321–341.
4. محمد سعيد خضير. (2022). لذكاء الاصطناعي والديمقراطية الرقمية: التحولات والتهديدات. المجلة العربية للعلوم السياسية.
5. منى لبيب. (العدد15, 2021). الذكاء الاصطناعي والمراقبة الرقمية في زمن الجائحة. مجلة التكنولوجيا والمجتمع.
6. نادية البكري. (2021). تطبيقات الذكاء الاصطناعي في العمل السياسي: قراءة تحليلية. المجلة الجزائرية للعلوم السياسية.
المراجع الأجنبية:
1. Beth , S. N., & Smart , C. (2015). Smart citizens, smarter state: The technologies of expertise and the future of governing. Cambridge: Harvard University Press.
2. Bostrom, N., & Yudkowsky, E. (2020). The ethics of artificial intelligence. In K. F. Ramsey, Cambridge Handbook of Artificial Intelligence (pp. 316–337). Cambridge: Cambridge University Press.
3. Bradshaw, S., & Howard, P. (2018). Challenging truth and trust: A global inventory of organized social media manipulation. Oxford: Oxford Internet Institute, Project on Computational Propaganda.
4. Brundage, M., Avin, S., Wang, J., & Belfield, H. (2020, April 15). Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. Retrieved from arXiv: https://doi.org/10.48550/ARXIV.2004.07213
5. Cave, S. &. (2018). AAAI/ACM Conference on AI, Ethics, and Society (AIES ‘18). An AI race for strategic advantage: Rhetoric and risks (pp. 36–40). New Orleans: Association for Computing Machinery.
6. Crawford, K. (2021). Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. New Haven: Yale University Press.
7. Creemers, R. (2018, June). China’s social credit system: An evolving practice of control. Retrieved from SSRN: https://papers.ssrn.com/abstract=3175792
8. European Commission;. (2024, June 26). Proposal for a regulation laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Proposal for a regulation laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Brussels: European Commission.
9. Feldstein, S. (2021). The Rise of Digital Repression: How Technology Is Reshaping Power, Politics, and Resistance. New York: Oxford University Press.
10. Floridi, L., Cowls, J., & al, e. (2018, (December 1). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, pp. 689–707.
11. Jamieson, K. (2018). Cyberwar: How Russian hackers and trolls helped elect a president. Oxford: Oxford University Press.
12. Lyon, D. (2018). The culture of surveillance: Watching as a way of life. Cambridg: Polity Press.
13. Noveck, B. (2015). Smart Citizens, Smarter State: The Technologies of Expertise and the Future of Governing. Cambridge: Harvard University Press.
14. O’Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. New York: Crown Publishing Group.
15. Pasquale, F. (2015). The black box society: The secret algorithms that control money and information. Cambridge: Harvard University Press.
16. Russell, S., & Norvig, P. (2020). Artificial intelligence: A modern approach. London: Pearson.
17. Soldatov, A., & Borogan, I. (2015). The Red Web: The Struggle Between Russia’s Digital Dictators and the New Online Revolutionaries. New York: PublicAffairs.
18. Tufekci, Z. (2014, July 7). Engineering the public: Big data, surveillance and computational politics. First Monday. Retrieved from https://firstmonday.org/ojs/index.php/fm/article/view/4901
19. Virginia , E., & Automating , I. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor. New York: Martin’s Press.
20. von Schomberg, R. (2019). The role of civil society in responsible research and innovation. In R. v. (Eds.), International handbook on responsible innovation: A global resource (pp. 329–345). Cheltenham: Edward Elgar Publishing.
21. Wallach, W., & Marchant, G. (2019, March). Toward the agile and comprehensive international governance of AI and robotics. Proceedings of the IEEE, pp. 505–508.
22. Yeung, K. (2018, December). Algorithmic regulation: A critical interrogation. Regulation & Governance, pp. 505–523.
23. Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. New York: PublicAffairs.
