Comparative Analysis of Different Countries on Regulation of Ai in Social Relations
Keywords:
artificial intelligence, regulation, social relations, comparative law, privacy, algorithmic transparency, ethical AI, global governance.Abstract
This article presents a comprehensive comparative analysis of artificial intelligence (AI) regulation in social relations across various countries. As AI technologies increasingly permeate social interactions, governments worldwide are grappling with the challenge of creating appropriate regulatory frameworks. This study examines the approaches taken by the United States, European Union, China, and Japan, focusing on key areas such as privacy protection, algorithmic transparency, and ethical AI development. The research reveals significant variations in regulatory strategies, reflecting different cultural, political, and economic contexts. Findings suggest that while some countries prioritize innovation and economic growth, others emphasize individual rights and societal well-being. The study concludes by proposing a balanced approach that fosters AI innovation while safeguarding social values and human rights.
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Calo, R. (2017). Artificial Intelligence Policy: A Primer and Roadmap. UC Davis Law Review, 51, 399-435.
Floridi, L. (2019). Establishing the rules for building trustworthy AI. Nature Machine Intelligence, 1(6), 261-262.
Roberts, H., Cowls, J., Morley, J., Taddeo, M., Wang, V., & Floridi, L. (2021). The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation. AI & Society, 36(1), 59-77.
Fukukawa, K. (2020). Japan's 'Society 5.0': Going Beyond Industry 4.0. American Marketing Association.
Tene, O., & Polonetsky, J. (2020). Taming the Golem: Challenges of ethical algorithmic decision-making. North Carolina Journal of Law & Technology, 19(1), 125-173.
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. Profile Books.
Wachter, S., Mittelstadt, B., & Floridi, L. (2017). Transparent, explainable, and accountable AI for robotics. Science Robotics, 2(6), eaan6080.
Burrell, J. (2016). How the machine 'thinks': Understanding opacity in machine learning algorithms. Big Data & Society, 3(1), 2053951715622512.
Pasquale, F. (2015). The black box society: The secret algorithms that control money and information. Harvard University Press.
Whittaker, M., Crawford, K., Dobbe, R., Fried, G., Kaziunas, E., Mathur, V., ... & Schwartz, O. (2018). AI now report 2018. AI Now Institute at New York University.
Ding, J. (2018). Deciphering China's AI dream. Future of Humanity Institute, University of Oxford.
Crawford, K., & Calo, R. (2016). There is a blind spot in AI research. Nature, 538(7625), 311-313.
Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M., & Floridi, L. (2018). Artificial Intelligence and the 'Good Society': the US, EU, and UK approach. Science and Engineering Ethics, 24(2), 505-528.
Gasser, U., & Almeida, V. A. (2017). A layered model for AI governance. IEEE Internet Computing, 21(6), 58-62.
Goldsmith, J., & Wu, T. (2006). Who controls the Internet?: Illusions of a borderless world. Oxford University Press.
Nemitz, P. (2018). Constitutional democracy and technology in the age of artificial intelligence. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2133), 20180089.
Chander, A. (2017). The racist algorithm? Michigan Law Review, 115(6), 1023-1045.
European Commission. (2021). Proposal for a Regulation laying down harmonised rules on artificial intelligence. Brussels: European Commission.
Chesney, R., & Citron, D. (2019). Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security. California Law Review, 107, 1753.
Yeung, K. (2018). Algorithmic regulation: A critical interrogation. Regulation & Governance, 12(4), 505-523.
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 2053951716679679.
Calo, R. (2015). Robotics and the Lessons of Cyberlaw. California Law Review, 103(3), 513-563.
Rustambekov, I., & Turdialiev, M. A. (2024). Liability Issues arising from AI Actions within the Metaverse: Examining the Role of International Private Law.
Kurniarizki, A., Budiono, A., & Ogli, T. M. A. P. (2024, March). Juridical Analysis of Inheritance Law for Heirs Whose Presence Cannot Be Established According to the Civil Code. In Proceeding International Conference Restructuring and Transforming Law (Vol. 2, No. 2, pp. 511-516).
Turdialiev, M. (2024). Navigating the Maze: AI and Automated Decision-Making Systems in Private International Law. International Journal of Law and Policy, 2(7), 1-6.
Abdusatarov, J., & Turdialiev, M. A. (2024). The Issues of Intellectual Property in the Realm of Metaverse. Available at SSRN 4694628.
Турдиалиев, М. А. П. У. (2023). ПРАВОВОЙ ПОНЯТИЯ И СУЩНОСТИ ЦИФРОВОЕ ПРАВО В ПРАКТИКЕ УЗБЕКИСТАН И РОССИЯ. Oriental renaissance: Innovative, educational, natural and social sciences, 3(1), 362-371.
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Published
2024-08-28
How to Cite
Mukhammad Ali Turdialiev. (2024). Comparative Analysis of Different Countries on Regulation of Ai in Social Relations. Central Asian Journal of Social Sciences and History, 5(4), 203–208. Retrieved from https://cajssh.casjournal.org/index.php/CAJSSH/article/view/1119
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