منابع و مآخذ:
- Adams, R. (2023). The evolution of intellectual property rights in the digital age. *Journal of Modern Law and Policy*, 3(2), 52-63.
- Adelakun, B. O., Nembe, J. K., Oguejiofor, B. B., Akpuokwe, C. U., & Bakare, S. S. (2024). Legal frameworks and tax compliance in the digital economy: a finance perspective. *Engineering Science & Technology Journal*, 5(3), 844-853.
- Alzubi, J., Nayyar, A., & Kumar, A. (2018, November). Machine learning from theory to algorithms: an overview. In *Journal of Physics: Conference Series* (Vol. 1142, p. 012012). IOP Publishing.
- Arsic, V. B. (2021). Challenges of financial risk management: AI applications. *Management: Journal of Sustainable Business and Management Solutions in Emerging Economies*, 26(3), 27-34.
- Balasubramanian, N., Ye, Y., & Xu, M. (2022). Substituting human decision-making with machine learning: Implications for organizational learning. *Academy of Management Review*, 47(3), 448-465.
- Buiten, M. C. (2024). Product liability for defective AI. *European Journal of Law and Economics*, 1-35.
- Chang, Y., Iakovou, E., & Shi, W. (2020). Blockchain in global supply chains and cross-border trade: a critical synthesis of the state-of-the-art, challenges and opportunities. *International Journal of Production Research*, 58(7), 2082-2099.
- Cihon, P. (2019). Standards for AI governance: international standards to enable global coordination in AI research & development. *Future of Humanity Institute*, University of Oxford, 340-342.
- Ciuriak, D., & Rodionova, V. (2020). Trading AI: Economic interests, societal choices and multilateral rules. In *Artificial Intelligence and International Economic Law: Disruption, Regulation, and Reconfiguration,* Cambridge University Press (forthcoming).
- Coker, J. C., Uzougbo, N. S., Oguejiofor, B. B., & Akagha, V. (2023). The role of legal practitioners in mitigating corporate risks in Nigeria: a comprehensive review of existing literature on the strategies and approaches adopted by legal practitioners in Nigeria to mitigate corporate risks. *Finance & Accounting Research Journal*, 5(10), 309-332.
- Deshpande, R., & Kamath, K. (2020). Patentability of inventions created by AI—the DABUS claims from an Indian perspective. *Journal of Intellectual Property Law & Practice*, 15(11), 879-889.
- Devarajan, Y. (2018). A study of robotic process automation use cases today for tomorrow’s business. *International Journal of Computer Techniques*, 5(6), 12-18.
- Ehimuan, B., Chimezie, O., Akagha, O. V., & Reis, O. (2024). Global data privacy laws: A critical review of technology's impact on user rights. *World Journal of Advanced Research and Reviews*, 21(2), 1058-1070.
- Ejairu, E., Mhlongo, Z. N., Odeyemi, O., Nwankwo, E. E., & Odunaiya, O. G. (2024). Blockchain in global supply chains: A comparative review of USA and African practices. *International Journal of Science and Research Archive*, 7, 2093-2100.
- Erdélyi, O. J., & Erdélyi, G. (2020, February). The AI liability puzzle and a fund-based workaround. In *Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society* (pp. 50-56).
- Foss-Solbrekk, K., & Glenster, A. K. (2022). The intersection of data protection rights and trade secret privileges in algorithmic transparency. In *Research Handbook on EU Data Protection Law* (pp. 163-183). Edward Elgar Publishing.
- Giudici, P. (2018). Fintech risk management: A research challenge for artificial intelligence in finance. *Frontiers in Artificial Intelligence*, 1, 1.
- Goldfarb, A., & Trefler, D. (2018). AI and international trade (No. w24254). *National Bureau of Economic Research*.
- Hassani, H., Silva, E. S., Unger, S., TajMazinani, M., & Mac Feely, S. (2020). Artificial intelligence (AI) or intelligence augmentation (IA): What is the future?. *AI*, 1(2), 8.
- Ikwue, U., Ekwezia, A. V., Oguejiofor, B. B., Agho, O., & Daraojimba, C. (2023). Sustainable investment strategies in pension fund management: a comparative review of ESG principles adoption in the US and Nigeria. *International Journal of Management & Entrepreneurship Research*, 5(9), 652-673.
- Konda, S. R. (2022). Ethical considerations in the development and deployment of AI-driven software systems. *International Journal of Computer Science and Technology*, 6(3), 86-101.
- Kuner, C. (2010). Regulation of transborder data flows under data protection and privacy law: Past, present, and future. *TILT Law & Technology Working Paper*, (016).
- Li, W., Yigitcanlar, T., Nili, A., & Browne, W. (2023). Tech Giants’ Responsible Innovation and Technology Strategy: An International Policy Review. *Smart Cities*, 6(6), 3454-3492.
- Liu, H., & Lin, C. F. (2020). Artificial intelligence and global trade governance: A pluralist agenda.
- Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. *Futures*, 90, 46-60.
- Marda, V. (2018). Artificial intelligence policy in India: A framework for engaging the limits of data-driven decision-making. *Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences*, 376(2133), 20180087.
- Matulionyte, R., & Aranovich, T. (2022). Trade secrets versus the AI explainability principle. In *Research Handbook on Intellectual Property and Artificial Intelligence* (pp. 405-422). Edward Elgar Publishing.
- Meltzer, J. P. (2015). The internet, cross‐border data flows and international trade. *Asia & the Pacific Policy Studies*, 2(1), 90-102.
- National Research Council, Commission on Physical Sciences, Mathematics, Applications, Computer Science, Telecommunications Board, Committee on Intellectual Property Rights and the Emerging Information Infrastructure. (2000). *The digital dilemma: Intellectual property in the information age*. National Academies Press.
- Naumova, E. N. (2023). Who is responsible for AI-generated public health policies?. *Journal of Public Health Policy*, 44(4), 517-522.
- Nembe, J. K., Atadoga, J. O., Adelakun, B. O., Odeyemi, O., & Oguejiofor, B. B. (2024). Legal implications of blockchain technology for tax compliance and financial regulation. *Finance & Accounting Research Journal*, 6(2), 262-270.
- Nwankwo, T. C., Ejairu, E., Awonuga, F. K., Usman, O. F., & Nwankwo, E. E. (2024). Conceptualizing sustainable supply chain resilience: Critical materials manufacturing in Africa as a catalyst for change. *International Journal of Science and Research Archive*, 11(1), 2427-2437.
- Ogedengbe, D. E., Oladapo, O. J., Elufioye, O. A., Ejairu, E., & Ezeafulukwe, E. (2024). Strategic HRM in the logistics and shipping sector: Challenges and opportunities. *Magna Scientia Advanced Research and Reviews*, 11, 294-305.
- Oguejiofor, B. B., Omotosho, A., Abioye, K. M., Alabi, A. M., Oguntoyinbo, F. N., & Daraojimba, C. (2023). A review on data-driven regulatory compliance in Nigeria. *International Journal of Applied Research in Social Sciences*, 5(8), 231-243.
- Ogunjobi, O. A., Eyo-Udo, N. L., Egbokhaebho, B. A., Daraojimba, C., Ikwue, U., & Banso, A. A. (2024). Analyzing historical trade dynamics and contemporary impacts of emerging materials technologies on international exchange and US strategy. *Engineering Science & Technology Journal*, 4(3), 101-119.
- Okogwu, C., Agho, M. O., Adeyinka, M. A., Odulaja, B. A., Eyo-Udo, N
. L., Daraojimba, C., & Banso, A. A. (2023). Exploring the integration of sustainable materials in supply chain management for environmental impact. *Engineering Science & Technology Journal*, 4(3), 49-65.
- Okoye, C. C., Ofodile, O. C., Tula, S. T., Ajayi-Nifise, A. O., & Falaiye, T. (2024). Risk management in international supply chains: A review with USA and African Cases. *Magna Scientia Advanced Research and Reviews*, 10(1), 256-264.
- Osman, C. C. (2019). Robotic process automation: lessons learned from case studies. *Informatica Economica*, 23(4).
- Oyewole, A. T., Oguejiofor, B. B., Eneh, N. E., Akpuokwe, C. U., & Seun, S. S. (2024). Data privacy laws and their impact on financial technology companies: A review. *Computer Science & IT Research Journal*, 5(3), 628-650.
- Oyewole, A. T., Okoye, C. C., Ofodile, O. C., & Ejairu, E. (2024). Reviewing predictive analytics in supply chain management: Applications and benefits. *World Journal of Advanced Research and Reviews*, 21(3), 568-574.
- Park, T. M. (2022). Making AI Inclusive.
- Prasad, A. (2023). Intellectual property rights in the age of content creation. *Commonwealth Law Review*, 9, 196.
- Rajagopal, N. K., Qureshi, N. I., Durga, S., Ramirez Asis, E. H., Huerta Soto, R. M., Gupta, S. K., & Deepak, S. (2022). Future of business culture: An artificial intelligence-driven digital framework for organization decision-making process. *Complexity*, 2022, 1-14.
- Ramalho, A. (2018). Patentability of AI-generated inventions: is a reform of the patent system needed?. Available at SSRN 3168703.
- Rangaraju, S. (2023). Secure by intelligence: enhancing products with AI-driven security measures. *EPH-International Journal of Science and Engineering*, 9(3), 36-41.
- Raschka, S., Patterson, J., & Nolet, C. (2020). Machine learning in python: Main developments and technology trends in data science, machine learning, and artificial intelligence. *Information*, 11(4), 193.
- Sarker, I. H. (2022). AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems. *SN Computer Science*, 3(2), 158.
- Tien, J. M. (2017). Internet of things, real-time decision making, and artificial intelligence. *Annals of Data Science*, 4, 149-178.
- Voss, W. G. (2019). Cross-border data flows, the GDPR, and data governance.
- Yeboah, K. (2020). Artificial Intelligence (AI) and Inclusive Innovation: Examining Contemporary AI Initiatives in sub-Saharan Africa.
- Yu, C. (2023). AI Revolution: Reshaping Global Value Chains for the Future (No. n6hb2). Center for Open Science.