TIM-6074

Alfiani, F. R. N., & Santiago, F. (2024). A comparative analysis of artificial intelligence regulatory law in asia, europe, and america. SHS Web of Conferences, 204, 07006. https://doi.org/10.1051/shsconf/202420407006 
This paper provides a comparative overview of AI regulations in Asia, Europe, and America, highlighting key considerations such as ethics, data privacy, and transparency.

Chang, C. (Kirin). (2024). Global minds, local governance: AI in international law (SSRN Scholarly Paper No. 5185175). Social Science Research Network. https://papers.ssrn.com/abstract=5185175 
This essay explores the evolving landscape of international AI governance and argues for a new comprehensive approach balancing global coordination and national sovereignty. 

Dou, L., & Dou, X. (2025). Towards just AI: Challenges and solution framework for algorithmic discrimination in judicial system. International Journal of Digital Law and Governance. https://doi.org/10.1515/ijdlg-2024-0020 
This paper examines the challenges of algorithmic discrimination in judicial AI and proposes a framework for just AI, comparing regulatory approaches in the US and EU.

Erman, E., & Furendal, M. (2024). Artificial intelligence and the political legitimacy of global governance. Political Studies, 72(2), 421–441. https://doi.org/10.1177/00323217221126665 
This article theorizes the political legitimacy of global AI governance, emphasizing the importance of democratic procedural aspects in addition to outcomes.

Hine, E., & Floridi, L. (2024). Artificial intelligence with american values and chinese characteristics: A comparative analysis of american and chinese governmental AI policies. AI & SOCIETY, 39(1), 257–278. https://doi.org/10.1007/s00146-022-01499-8 
This study compares US and Chinese governmental AI policies, analyzing the underlying philosophies of technology and historical factors influencing their approaches. 

Hossain, M. A., Azim, K. S., Jafor, A. H. M., Shayed, A. U., Nikita, N. A., & Khan, O. U. (2024). AI and machine learning in international diplomacy and conflict resolution. AIJMR - Advanced International Journal of Multidisciplinary Research, 2(5). https://doi.org/10.62127/aijmr.2024.v02i05.1095 
This paper discusses the potential of AI and machine learning to revolutionize international diplomacy and conflict resolution, exploring applications and ethical issues. 

Kulothungan, V., & Gupta, D. (2025). Towards adaptive AI governance: Comparative insights from the U.S., EU, and asia (No. arXiv:2504.00652). arXiv. https://doi.org/10.48550/arXiv.2504.00652 
This paper provides a comparative analysis of AI governance in the US, EU, and Asia, proposing an adaptive framework to balance innovation, ethics, and regulation. 

Neuwirth, R. J. (2024). The global institutional governance of AI: A four-dimensional perspective. International Journal of Digital Law and Governance, 1(1), 113–153. https://doi.org/10.1515/ijdlg-2024-0004 
This article argues for a "race toward the global regulation of AI," emphasizing the cross-cutting nature of AI and the need for a coherent global institutional framework.

Roberts, H., Hine, E., Taddeo, M., & Floridi, L. (2024). Global AI governance: Barriers and pathways forward. International Affairs, 100(3), 1275–1286. https://doi.org/10.1093/ia/iiae073 
This paper analyzes the barriers to global AI governance rooted in international relations and assesses potential routes for advancing cooperation.

Robles, P., & Mallinson, D. J. (2025). Artificial intelligence technology, public trust, and effective governance. Review of Policy Research, 42(1), 11–28. https://doi.org/10.1111/ropr.12555 
This article argues that public trust should be a central principle in AI governance, alongside transparency and risk mitigation, based on an analysis of public opinion.

Varela, D. T. (2024). Diplomacy in the age of AI: Challenges and opportunities. Journal of Artificial Intelligence General Science (JAIGS) ISSN:3006-4023, 2(1), Article 1. https://doi.org/10.60087/jaigs.v2i1.101 
This paper explores the challenges and opportunities presented by the intersection of AI and diplomacy, examining its impact on diplomatic practices and governance frameworks.

Zaidan, E., & Ibrahim, I. A. (2024). AI governance in a complex and rapidly changing regulatory landscape: A global perspective. Humanities and Social Sciences Communications, 11(1), 1–18. https://doi.org/10.1057/s41599-024-03560-x 
This article discusses the need for a global regulatory framework for AI, examining the roles of different actors and the challenges of establishing and enforcing international law in this field.