ARTIFICIAL INTELLIGENCE (AI)-DRIVEN SANCTIONS: TRANSFORMING GLOBAL GOVERNANCE MECHANISMS IN RESPONSE TO NON-COMPLIANCE
Keywords:
AI-driven sanctions, Global governance, Compliance enforcement, Machine learning in diplomacy, Sanctions automation, Ethical AI in international lawAbstract
Artificial intelligence (AI) and international sanctions regimes are merging on the horizon of global governance. AI-enabled sanctions utilize machine learning, big data analytics, and predictive modeling to detect sanctions violations, monitor illicit financial flows, and automate compliance decision-making processes. Such technologies facilitate real-time risk assessment, increased transparency, improved efficiency in sanction screenings, and reduced efficiency of traditional sanctions enforcement. Moreover, the introduction of AI allows diplomats to use leverage with precision, increasing pressure on a target while reducing collateral damage and maximizing compliance salience. Yet, ethical implications, biases in artificial intelligence algorithms, and the misuse risks of Artificial Intelligence remain a crucial challenge. This article examines how AI-enabled sanctions can transform the landscape of contemporary global governance, focusing on opportunities as well as challenges associated when it comes to employing AI in pursuit of enhanced international compliance enforcement.
References
Aaronson, S. A. (2024). The Age of AI Nationalism and Its Effects. Econstor. Retrieved from Econstor
Abikoye, B. E., Umeorah, S. C., & Adelaja, A. O. (2024). Regulatory compliance and efficiency in financial technologies: Challenges and innovations. World Journal of Banking & Finance.
Adewusi, A. O., & Olorunsogo, T. (2024). Artificial intelligence in cybersecurity: Protecting national infrastructure. World Journal of AI Governance. Retrieved from ResearchGate
Alic, D. (2021). The Role of Data Protection and Cybersecurity Regulations in Artificial Intelligence Global Governance: A Comparative Analysis of the European Union, the United States, and China. Central European University Thesis Repository. Retrieved from CEU
Andriansyah, Y. (2023). The role of artificial intelligence in modern banking: an exploration of AI-driven approaches for enhanced fraud prevention, risk management, and regulatory compliance. Reviews of Contemporary Business Analytics. Retrieved from CORE
Azzutti, A. (2022). AI trading and the limits of EU law enforcement in deterring market manipulation. Computer Law & Security Review. Retrieved from ScienceDirect
Balakrishnan, A. (2024). Leveraging artificial intelligence for enhancing regulatory compliance in the financial sector. International Journal of Computer Trends and Technology. Retrieved from SSRN
Bukhsh, Z. A., Stipanovic, I., Saeed, A., & Doree, A. G. (2020). Maintenance intervention predictions using entity-embedding neural networks. Automation in Construction. Retrieved from ScienceDirect
Erman, E., & Furendal, M. (2022). The global governance of artificial intelligence: Some normative concerns. Moral Philosophy and Politics.
Erskine, T. (2024). AI and the future of IR: Disentangling flesh-and-blood, institutional, and synthetic moral agency in world politics. Review of International Studies.
Erskine, T. (2024). Before Algorithmic Armageddon: Anticipating Immediate Risks to Restraint When AI Infiltrates Decisions to Wage War. Australian Journal of International Affairs. Retrieved from Taylor & Francis
Gans-Combe, C. (2022). Automated justice: Issues, benefits, and risks in the use of artificial intelligence and its algorithms in access to justice and law enforcement. Ethics, Integrity and Policymaking: The Value of Trust. Retrieved from OAPEN
Gualdi, F., & Cordella, A. (2021). Artificial intelligence and decision-making: The question of accountability. London School of Economics Eprints. Retrieved from LSE
Haider, M. H., Rizvi, S. W. A., & Iqbal, S. (2023). Artificial intelligence in security and defense: Exploring the integration of AI in military strategies, security policies, and its implications for global power dynamics. International Journal of Security Studies.
Iqbal, S., Rizvi, S. W. A., & Haider, M. H. (2023). Artificial Intelligence in Security and Defense: Exploring the Integration of AI in Military Strategies, Security Policies, and Its Implications for Global Power Dynamics. International Journal of Security Studies. Retrieved from ResearchGate
Iyer, L. S. (2021). AI-enabled applications towards intelligent transportation. Transportation Engineering. Retrieved from ScienceDirect
Khan, A. (2024). The intersection of artificial intelligence and international trade laws: Challenges and opportunities. IIUMLJ.
Kommineni, H. P. (2020). Automating SAP GTS compliance through AI-powered reciprocal symmetry models. Journal of Reciprocal Symmetry and Theoretical Finance.
Le, T. H., & Bach, N. T. (2022). Global sanctions, foreign direct investment, and global linkages: Evidence from global data. The Journal of International Trade & Economic Development.
Manikyala, A., Talla, R. R., & Gade, P. K. (2024). Implementing AI in SAP GTS for symmetric trade analytics and compliance. American Journal of Trade Compliance.
Obinna, A. J., & Kess-Momoh, A. J. (2024). Comparative technical analysis of legal and ethical frameworks in AI-enhanced procurement processes. World Journal of Advanced Research and Reviews. Retrieved from WJARR
Palladino, N. (2023). A ‘biased’ emerging governance regime for artificial intelligence? Telecommunications Policy.
Radu, R. (2021). Steering the governance of artificial intelligence: National strategies in perspective. Policy and Society.
Ravichandran, P., & Machireddy, J. R. (2022). AI-enhanced data analytics for real-time business intelligence: Applications and challenges. Journal of AI in Decision Science. Retrieved from ResearchGate
Rehman, Z. (2023). Beyond Borders: International Law and Global Governance in the Digital Age. Journal of Accounting & Business Archive Review. Retrieved from ResearchGate
Sabia, R. (2020). Artificial intelligence and environmental criminal compliance. The Criminal Law Protection of our Common Home.
Schmit, C. D., Doerr, M. J., & Wagner, J. K. (2023). Leveraging IP for AI governance. Science. Retrieved from Science.org
Sigfrids, A., Nieminen, M., & Leikas, J. (2022). How should public administrations foster the ethical development and use of artificial intelligence? A review of proposals for developing governance of AI. Frontiers in Human Dynamics. Retrieved from Frontiers
Talla, R. R., Manikyala, A., & Gade, P. K. (2022). Leveraging AI in SAP GTS for enhanced trade compliance and reciprocal symmetry analysis. Journal of Reciprocal Symmetry and Theoretical Finance. Retrieved from ResearchGate
Tallberg, J., Erman, E., Furendal, M., & Geith, J. (2023). The global governance of artificial intelligence: Next steps for empirical and normative research. International Studies Review.
Walter, Y. (2024). Managing the race to the moon: Global policy and governance in artificial intelligence regulation. Discover Artificial Intelligence.
Wörsdörfer, M. (2023). AI ethics and ordoliberalism 2.0: Towards a 'Digital Bill of Rights'. AI and Ethics. Retrieved from Springer.
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