Ozili, Peterson K (2024): Artificial intelligence and central bank digital currency. Forthcoming in:
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Abstract
The purpose of this article is to explore the role of artificial intelligence, or AI, in a central bank digital currency project and its challenges. Artificial intelligence is transforming the digital finance landscape. Central bank digital currency is also transforming the nature of central bank money. This study also suggests some considerations which central banks should be aware of when deploying artificial intelligence in their central bank digital currency project. The study concludes by acknowledging that artificial intelligence will continue to evolve, and its role in developing a sustainable CBDC will expand. While AI will be useful in many CBDC projects, ethical concerns will emerge about the use AI in a CBDC project. When such concerns arise, central banks should be prepared to have open discussions about how they are using, or intend to use, AI in their CBDC projects.
Item Type: | MPRA Paper |
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Original Title: | Artificial intelligence and central bank digital currency |
Language: | English |
Keywords: | artificial intelligence, central bank digital currency, CBDC, machine learning, deep learning, cryptocurrency, CBDC project, CBDC pilot, blockchain |
Subjects: | E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E50 - General E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E51 - Money Supply ; Credit ; Money Multipliers E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E52 - Monetary Policy E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E58 - Central Banks and Their Policies O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O31 - Innovation and Invention: Processes and Incentives |
Item ID: | 121567 |
Depositing User: | Dr Peterson K Ozili |
Date Deposited: | 26 Jul 2024 09:02 |
Last Modified: | 26 Jul 2024 09:02 |
References: | Ballaschk, D., & Paulick, J. (2021). The public, the private and the secret: Thoughts on privacy in central bank digital currencies. Journal of Payments Strategy & Systems, 15(3), 277-286. Barontini, C and H Holden (2019). Proceeding with caution – a survey on central bank digital currency, BIS Papers, no 101, February. Bindseil, U. (2020). Tiered CBDC and the financial system. Available at SSRN 3513422. Bindseil, U., Panetta, F., & Terol, I. (2021). Central Bank Digital Currency: functional scope, pricing, and controls. ECB Occasional Paper, (2021/286). Brock, J. M., & De Haas, R. (2023). Discriminatory lending: Evidence from bankers in the lab. American Economic Journal: Applied Economics, 15(2), 31-68. Burlon, L., Montes-Galdon, C., Muñoz, M. A., & Smets, F. (2022). The optimal quantity of CBDC in a bank-based economy (No. 2689). European Central Bank. Chowdhary, K. R. (2020). Fundamentals of artificial intelligence (pp. 603-649). New Delhi: Springer India. Dwork, C., & Minow, M. (2022). Distrust of artificial intelligence: Sources & responses from computer science & law. Daedalus, 151(2), 309-321. Han, J., Huang, Y., Liu, S., & Towey, K. (2020). Artificial intelligence for anti-money laundering: a review and extension. Digital Finance, 2(3), 211-239. Howell, S. T., Kuchler, T., Snitkof, D., Stroebel, J., & Wong, J. (2024). Lender automation and racial disparities in credit access. The Journal of Finance, 79(2), 1457-1512. Jabbar, A., Geebren, A., Hussain, Z., Dani, S., & Ul-Durar, S. (2023). Investigating individual privacy within CBDC: A privacy calculus perspective. Research in International Business and Finance, 64, 101826. Kosse, A., & Mattei, I. (2023). Making headway-Results of the 2022 BIS survey on central bank digital currencies and crypto. BIS Papers. BIS Papers, No 136. Lee, D. K. C., Yan, L., & Wang, Y. (2021). A global perspective on central bank digital currency. China Economic Journal, 14(1), 52-66. Meyer, C., Cohen, D., & Nair, S. (2020). From automats to algorithms: the automation of services using artificial intelligence. Journal of Service Management, 31(2), 145-161. Ngai, E. W., Lee, M. C., Luo, M., Chan, P. S., & Liang, T. (2021). An intelligent knowledge-based chatbot for customer service. Electronic Commerce Research and Applications, 50, 101098. Ozili, P. K. (2023). Central bank digital currency research around the World: a review of literature. Journal of Money Laundering Control, 26(2), 215-226. Ozili, P. K. (2024). Artificial intelligence in central banking: benefits and risks of AI for central banks. In Industrial Applications of Big Data, AI, and Blockchain (pp. 70-82). IGI Global. Pocher, N., & Veneris, A. (2022). Central bank digital currencies. Handbook on blockchain, 463-501. Schoenherr, J. R., & Thomson, R. (2024). When AI Fails, Who Do We Blame? Attributing Responsibility in Human-AI Interactions. IEEE Transactions on Technology and Society. Soori, M., Arezoo, B., & Dastres, R. (2023). Artificial intelligence, machine learning and deep learning in advanced robotics, a review. Cognitive Robotics. Taherdoost, H., & Madanchian, M. (2023). Artificial intelligence and sentiment analysis: A review in competitive research. Computers, 12(2), 37. Tian, S., Zhao, B., & Olivares, R. O. (2023). Cybersecurity risks and central banks’ sentiment on central bank digital currency: Evidence from global cyberattacks. Finance Research Letters, 53, 103609. Wagner, G., Lukyanenko, R., & Paré, G. (2022). Artificial intelligence and the conduct of literature reviews. Journal of Information Technology, 37(2), 209-226. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/121567 |