Global AI Governance Assessment for AI-Generated Content for a Globalized Digital World
DOI:
https://doi.org/10.64060/IJLLA.V2I1.136Keywords:
Artificial Intelligence, AI Governance, AI-Generated Content, International AI Law, Globalized Digital WorldAbstract
AI-generated content has rapidly transformed the global information environment, challenged traditional legal systems, and exposed important gaps in international law. Through a doctrinal, comparative, and normative analysis of national laws, international conventions, bilateral agreements, and soft-law instruments adopted between 2000 and 2025, the study examines emerging regulatory models. The analysis identifies both convergence and divergence in global approaches, particularly regarding transparency, human oversight, accountability, and risk-based regulation. The findings also reveal a need for international consensus that AI systems must remain under meaningful human control and that transparency and rights protection are essential. However, significant tensions persist in enforcement mechanisms, regulatory philosophy, and geopolitical priorities, creating risks of fragmentation and regulatory arbitrage. The future of AI governance will depend on whether states can move beyond fragmented experimentation toward principled coordination. The challenge is not to eliminate diversity in regulatory models, but to anchor that diversity within shared minimum standards grounded in human dignity, accountability, and the rule of law. If international law can successfully adapt to the realities posed by AI-generated content, it will not only manage technological disruption but also reaffirm its relevance in the digital age.
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References
Afzal, J. (2024). Implementation of Digital Law as a Legal Tool in the Current Digital Era. Springer Nature. https://doi.org/10.1007/978-981-97-7106-6
Ahmad, J. (2026). AI-Generated Content and Violation of Human Rights: United Nations Initiatives and International Community Response | Journal of Conferences Proceedings Publication. https://doi.org/10.64060/ICPP.11
Bean, E., Burleigh, C., Haskell, C., Burris-Melville, T., Payne, J., & Pathak, B. (2025). Eavesdropping on UNESCO AI Policy, Leadership, and Ethics. Journal of Leadership Studies, 18(4), 98–110. https://doi.org/10.1002/jls.70007
Birchfield, V. L. (2024). From roadmap to regulation: Will there be a transatlantic approach to governing artificial intelligence?: Journal of European Integration: Vol 46, No 7. https://www.tandfonline.com/doi/abs/10.1080/07036337.2024.2407571
Charlesworth, A. (2025). AI Regulation in the UK. In V. L. Raposo (Ed.), The European Artificial Intelligence Act: Promises and Perils? (pp. 365–392). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-98406-8_15
Corea, F., Fossa, F., Loreggia, A., Quintarelli, S., & Sapienza, S. (2023). A principle-based approach to AI: The case for European Union and Italy. AI & SOCIETY, 38(2), 521–535. https://doi.org/10.1007/s00146-022-01453-8
Dirksen, N., & Takahashi, C. S. (2020). ARTIFICIAL INTELLIGENCE IN JAPAN 2020.
Ebers, M., Hoch, V. R. S., Rosenkranz, F., Ruschemeier, H., & Steinrötter, B. (2021). The European Commission’s Proposal for an Artificial Intelligence Act—A Critical Assessment by Members of the Robotics and AI Law Society (RAILS). J, 4(4), 589–603. https://doi.org/10.3390/j4040043
Frana, P. L. (2024). “Assessing Smart Nation Singapore as an International Model for AI Resp” by Philip L. Frana. https://commons.lib.jmu.edu/ijr/vol7/iss1/2/
Ganbaatar, U. (2025). Do Ethics in AI Still Matter? A Review of the 2021 UNESCO Recommendation on the Ethics of AI: The Review of Faith & International Affairs: Vol 23, No 3. https://www.tandfonline.com/doi/abs/10.1080/15570274.2025.2531638
Ghiurău, D., & Popescu, D. (2024). Distinguishing Reality from AI: Approaches for Detecting Synthetic Content. https://www.mdpi.com/2073-431X/14/1/1
Habuka, H., & Osa, D. U. S. de la. (2025, February). Enhancements and next steps for the G7 Hiroshima AI Process: Toward a common framework to advance human rights, democracy and rule of law | Cambridge Forum on AI: Law and Governance | Cambridge Core. https://www.cambridge.org/core/journals/cambridge-forum-on-ai-law-and-governance/article/enhancements-and-next-steps-for-the-g7-hiroshima-ai-process-toward-a-common-framework-to-advance-human-rights-democracy-and-rule-of-law/767476A314F4D697C10489CDBCC09C39
Kasinathan, P., Pugazhendhi, R., Elavarasan, R. M., Ramachandaramurthy, V. K., Ramanathan, V., Subramanian, S., Kumar, S., Nandhagopal, K., Raghavan, R. R. V., Rangasamy, S., Devendiran, R., & Alsharif, M. H. (2022). Realization of Sustainable Development Goals with Disruptive Technologies by Integrating Industry 5.0, Society 5.0, Smart Cities and Villages. Sustainability, 14(22), 15258. https://doi.org/10.3390/su142215258
Kazim, E., Almeida, D., Kingsman, N., Kerrigan, C., Koshiyama, A., Lomas, E., & Hilliard, A. (2021). Innovation and opportunity: Review of the UK’s national AI strategy. Discover Artificial Intelligence, 1(1), 14. https://doi.org/10.1007/s44163-021-00014-0
Khanal, S., Zhang, H., & Taeihagh, A. (2024, July). Building an AI ecosystem in a small nation: Lessons from Singapore’s journey to the forefront of AI | Humanities and Social Sciences Communications. https://www.nature.com/articles/s41599-024-03289-7
Kim, J. (2024, May). Defining risk in AI legislation: Perspectives and implications in the Korean context: Communication Research and Practice: Vol 10, No 3. https://www.tandfonline.com/doi/abs/10.1080/22041451.2024.2346417
Kusche, I. (2024). Possible harms of artificial intelligence and the EU AI act: Fundamental rights and risk. Journal of Risk Research, 1–14. https://doi.org/10.1080/13669877.2024.2350720
Laux, J. (2024). Institutionalised distrust and human oversight of artificial intelligence: Towards a democratic design of AI governance under the European Union AI Act. AI & SOCIETY, 39(6), 2853–2866. https://doi.org/10.1007/s00146-023-01777-z
Laux, J., Wachter, S., & Mittelstadt, B. (2023). Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk—Laux—2024—Regulation & Governance—Wiley Online Library. https://onlinelibrary.wiley.com/doi/full/10.1111/rego.12512
Laux, J., Wachter, S., & Mittelstadt, B. (2024). Three pathways for standardisation and ethical disclosure by default under the European union artificial intelligence act. Computer Law & Security Review, 53, 105957. https://doi.org/10.1016/j.clsr.2024.105957
Lie, L. (2023). OECD Principles of Corporate Governance. In Encyclopedia of Sustainable Management (pp. 2497–2500). Springer, Cham. https://doi.org/10.1007/978-3-031-25984-5_1181
Maremonti, F. (2024). The G7 and AI Governance: Towards a Deeper and Broader Agenda.
McDougall, S. (2023). More Speed, Less Haste: Finding an Approach to AI Regulation that Works for the UK. Amicus Curiae, 5(1), 104–125. https://doi.org/10.14296/ac.v5i1.5664
Murtazashvili, I., Park, L., & He, J. (2025). Soft Law All the Way Down: Artificial Intelligence Governance Under Biden and Trump (SSRN Scholarly Paper No. 5682562). Social Science Research Network. https://doi.org/10.2139/ssrn.5682562
Musthafa, A. R., & Arundhati, G. B. (2025). Artificial Intelligence Governance Beyond Borders: The EU AI Act’s Influence on Third Party Legal Frameworks and Regional Organizations. Review of European and Comparative Law. https://doi.org/10.31743/recl.18927
Nikolinakos, N. Th. (2023). EU Policy and Legal Framework for Artificial Intelligence, Robotics and Related Technologies—The AI Act (Vol. 53). Springer International Publishing. https://doi.org/10.1007/978-3-031-27953-9
Park, D. H., Cho, E., & Lim, Y. (2024). A Tough Balancing Act – The Evolving AI Governance in Korea. East Asian Science, Technology and Society: An International Journal, 18(2), 135–154. https://doi.org/10.1080/18752160.2024.2348307
Persson, A., Laaksoharju, M., & Koga, H. (2021). We Mostly Think Alike: Individual Differences in Attitude Towards AI in Sweden and Japan. The Review of Socionetwork Strategies, 15(1), 123–142. https://doi.org/10.1007/s12626-021-00071-y
Rasche, A. (2009). “A Necessary Supplement”: What the United Nations Global Compact Is and Is Not. Business & Society, 48(4), 511–537. https://doi.org/10.1177/0007650309332378
Rasche, A., Waddock, S., & McIntosh, M. (2013). The United Nations Global Compact: Retrospect and Prospect. Business & Society, 52(1), 6–30. https://doi.org/10.1177/0007650312459999
Romero Moreno, F. (2024). Generative AI and deepfakes: A human rights approach to tackling harmful content. International Review of Law, Computers & Technology, 38(3), 297–326. https://doi.org/10.1080/13600869.2024.2324540
Smith, C. (2025). Normalizing doubt: AI, democratic confidence, and the OECD trust framework | AI & SOCIETY | Springer Nature Link. https://link.springer.com/article/10.1007/s00146-025-02789-7
Stanikza, M. E. (2025). Leveraging AI-generated and human-generated content for maximized user engagement in contentpreneurs’ innovation and creativity | Journal of Innovation and Entrepreneurship | Springer Nature Link. https://link.springer.com/article/10.1186/s13731-025-00529-1
Stoyanova, V. (2025). Council of Europe Framework Convention on Artificial Intelligence: Context, Regulatory Approach and Scope of Obligations. European Journal of Risk Regulation, 1–30. https://doi.org/10.1017/err.2025.10070
Vijendran, M., Deng, J., Chen, S., Ho, E. S. L., & Shum, H. P. H. (2025). Artificial intelligence for geometry-based feature extraction, analysis and synthesis in artistic images: A survey | Artificial Intelligence Review | Springer Nature Link. https://link.springer.com/article/10.1007/s10462-024-11051-3
Yuan, Z., Jiang, G., & Xu, L. (2025). Generative Artificial Intelligence and Data Governance: Challenges and Frameworks in Enterprise Applications | IEEE Conference Publication | IEEE Xplore. https://ieeexplore.ieee.org/abstract/document/11081956
Zhang, A. H. (2024). The Promise and Perils of China’s Regulation of Artificial Intelligence. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4708676
Zou, M., & Zhang, L. (2025). Navigating China’s regulatory approach to generative artificial intelligence and large language models. Cambridge Forum on AI: Law and Governance, 1, e8. https://doi.org/10.1017/cfl.2024.4
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