Cross-Border Oversight of Artificial Intelligence: Challenges and Prospects for a Harmonised International Regulatory Framework
DOI:
https://doi.org/10.32890/jis2026.22.1.5Kata kunci:
Artificial intelligence (AI), cross-border oversight, regulatory harmonization, ethical AI, data protectionAbstrak
As Artificial Intelligence (AI) continues to reshape industries, economies and societies globally, issues around privacy, security and ethical use of this technology have become major oversight concerns. Since AI is an area of technology that knows no bounds, there should be an adequate international regulatory response to address these new challenges. This paper will examine the global landscape for AI in several of the largest jurisdictions and how laws may be enforced beyond borders with regard to jurisdictional challenges, as well as enforcement. It discusses mechanisms to achieve this harmonization, with instruments of policy formulation and international cooperation. This study analyses the regulatory oversight strategies and international initiatives proposed by organizations such as the UN, OECD or WTO, to highlight how assembling a consistent set of regulations can be problematic. Results indicate that harmonized AI regulations in all countries can promote innovation, reduce costs of compliance and guarantee ethical deployment of secured beneficial AI worldwide. This paper provides a thorough examination of the problems and potential for international cooperation and regulation. It emphasizes the need for co-operation between nations and a regulatory ecosystem that is flexible enough to adapt quickly to rapid innovations. The study is located in the larger discussion on AI governance, and it highlights a global mandate towards coordinated approaches to unlock the promise of AI while warding off its dangers.
Rujukan
Abbot, R. (2020). The reasonable robot: Artificial intelligence and the law. Cambridge University Press.
Aboy, M., Minssen, T., & Vayena, E. (2024). Navigating the EU AI Act: Implications for regulated digital medical products. npj Digital Medicine, 7(1), 237.
Abulehia, A. F. S., Khairudin, N., & Sharif, M. H. M. (2023). Factors influencing the intention to adopt Big Data in small medium enterprises. In M. Al-Emran, M. A. Al-Sharafi, & K. Shaalan (Eds.), Lecture Notes in Networks and Systems, 550, 137–149. Springer International Publishing. https://doi.org/10.1007/978-3-031-16865-9_12
Alashqar, M. M., Rahim, A. B., & Abd Aziz, A. S. (2023). Examining the trend of the research on cybercrime: A bibliometric review. Resmilitaris, 13(3), 2945–2956.
Basel Committee on Banking Supervision. (2011). Basel III: A global regulatory framework for more resilient banks and banking systems. Bank for International Settlements.
Binns, R., Veale, M., Van Kleek, M., & Shadbolt, N. (2018). 'It's reducing a human being to a percentage': Perceptions of justice in algorithmic decisions. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 1–14).
Boulanin, V., & Verbruggen, M. (2017). Mapping the development of autonomy in weapon systems. Stockholm International Peace Research Institute (SIPRI).
Brundage et al. (2020). Toward trustworthy AI development: Mechanisms for supporting verifiable claims. arXiv preprint arXiv:2004.07213.
Brynjolfsson, E., & McAfee, A. (2017). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W.W. Norton & Company.
Cadwalladr, C., & Graham-Harrison, E. (2018). Revealed: 50 million Facebook profiles harvested for Cambridge Analytica in major data breach. The Guardian. https://www.theguardian.com
Calo, R. (2017). Artificial intelligence policy: A primer and roadmap. UC Davis Law Review, 51, 399–435.
Castro, D., & McLaughlin, M. (2020). Who is winning the AI race: China, the EU, or the United States? Center for Data Innovation. https://www.datainnovation.org
Cath, C. (2018). Governing artificial intelligence: Ethical, legal, and technical opportunities and challenges. Philosophical Transactions of the Royal Society A: Mathematical, Physical and
Engineering Sciences, 376(2133), 20180080.
Cihon, P. (2019). Standards for AI governance: International standards to enable global coordination in AI research & development. Future of Humanity Institute, University of Oxford.
Crawford et al. (2019). AI Now 2019 Report. AI Now Institute.
Dafoe, A. (2018). AI governance: A research agenda. Center for the Governance of AI, Future of Humanity Institute, University of Oxford.
Devi, K. J., Alghamdi, W., Alkhayyat, A., Sayyora, A., & Sathish, T. (2023). Artificial intelligence in healthcare: Diagnosis, treatment, and prediction. In E3S Web of Conferences, 399, 04043. EDP Sciences.
Ding, J. (2018). Deciphering China’s AI dream. Future of Humanity Institute, University of Oxford.
Elshobake, M. R. M., & Sakka, A. (2024). Legal implications of emerging technologies in criminal investigations: Current challenges and catalysts for change. International Journal of Social Science Research, 12(2).
European Commission. (2021). Proposal for a regulation of the European Parliament and of the Council laying down harmonised rules on artificial intelligence (Artificial Intelligence Act) and amending certain Union legislative acts. COM/2021/206 final. https://eur-lex.europa.eu
Finck, M. (2019). Automated decision-making and administrative law. In Algorithmic regulation (pp. 72–97). Oxford University Press.
Floridi et al. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28, 689–707.
Gasser, U., & Almeida, V. A. F. (2017). A layered model for AI governance. IEEE Internet Computing, 21(6), 58–62.
Gill, K. S. (2020). Prediction paradigm: The human price of instrumentalism. AI & Society, 35(3), 509–517.
Gill, K. S. (2021). Ethical dilemmas. AI & Society, 36(3), 669–676.
Gill, K. S. (2022). Actionable ethics. AI & Society, 37(1), 1–7.
Gill, K. S. (2023a). Moving the AI needle: From chaos to engagement. AI & Society, 38(1), 1–4.
Gill, K. S. (2023b). Seeing beyond the lens of Platonic embodiment. AI & Society, 38(4), 1261–1266.
Gordon, G. (2023). Digital sovereignty and global AI regulation: Understanding the implications. AI & Society, 39(1), 125–137.
Jaipuriar, A. (2024). Data protection and privacy laws & regulations in India. https://burgeon.co.in/ blog/data-protection-and-privacy-laws-and-regulations-in-india/
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399.
König, P. D. (2022). User control over algorithm-based services: Regulatory challenges. AI & Society, 38(1), 195–205.
Koulu, R. (2020). Proceduralising control and discretion: Human oversight in artificial intelligence policy. Maastricht Journal of European and Comparative Law. https://doi.org/10.1177/ 1023263X20978649
Kuner, C. (2020). The Internet and the global reach of EU law. In Research Handbook on EU Internet Law (pp. 13–28). Edward Elgar Publishing.
Kubica, M. L. (2022). Autonomous vehicles and liability law. The American Journal of Comparative Law, 70(Supplement_1), i39–i69.
Muller, V. C. (2020). Ethics of artificial intelligence and robotics. Stanford Encyclopedia of Philosophy.
National Institute of Standards and Technology. (2021). AI risk management framework. NIST.
OECD. (2019). Recommendation of the Council on Artificial Intelligence. OECD/LEGAL/0449.
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.
Russell, S., & Norvig, P. (2016). Artificial intelligence: A modern approach. Prentice Hall.
Shin, D. (2020). The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI. International Journal of Human-Computer Studies, 140, 102451.
Taddeo, M., & Floridi, L. (2018). How AI can be a force for good. Science, 361(6404), 751–752.
Viljanen, M. (2023). Future regulatory frameworks for AI: Safety and ethical implications. AI & Society, 39(1), 139–154.
Wagner, B. (2018). Ethics as an escape from regulation: From ethics-washing to ethics-shopping? In Being profiling. Cogitas ergo sum (pp. 84–89). Springer.
Wang, J., Zhang, L., Huang, Y., & Zhao, J. (2020). Safety of autonomous vehicles. Journal of Advanced Transportation, 2020(1), 8867757.
Whittlestone, J., Nyrup, R., Alexandrova, A., & Dihal, K. (2019). The role and limits of principles in AI ethics: Towards a focus on tensions. In Proceedings of the 2019 AAAI/ACM Conference on AI Ethics and Society (pp. 195–200).
Wulf, A. J., & Seizov, O. (2022). Transparency in GDPR-mandated AI disclosures: Challenges and opportunities. AI & Society, 38(1), 235–256.
Zyskind, G., Nathan, O., & Pentland, A. S. (2015). Decentralizing privacy: Using blockchain to protect personal data. In 2015 IEEE Security and Privacy Workshops.
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