IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/120151.html
   My bibliography  Save this paper

Artificial intelligence in central banking: benefits and risks of AI for central banks

Author

Listed:
  • Ozili, Peterson K

Abstract

Artificial intelligence (AI) is a topic of interest in the finance literature. However, its role and implications for central banks have not received much attention in the literature. Using discourse analysis method, this article identifies the benefits and risks of artificial intelligence in central banking. The benefits of artificial intelligence for central banks are that deploying artificial intelligence systems will encourage central banks to develop information technology (IT) and data science capabilities, it will assist central banks in detecting financial stability risks, it will aid the search for granular micro economic/non-economic data from the internet so that the data can support central banks in making policy decisions, it enables the use of AI-generated synthetic data, and it enables task automation in central banking operations. However, the use of artificial intelligence in central banking poses some risks which include data privacy risk, the risk that using synthetic data could lead to false positives, high risk of embedded bias, difficulty of central banks to explain AI-based policy decisions, and cybersecurity risk. The article also offers some considerations for responsible use of artificial intelligence in central banking.

Suggested Citation

  • Ozili, Peterson K, 2024. "Artificial intelligence in central banking: benefits and risks of AI for central banks," MPRA Paper 120151, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:120151
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/120151/1/MPRA_paper_120151.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Goodell, John W. & Kumar, Satish & Lim, Weng Marc & Pattnaik, Debidutta, 2021. "Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    2. Alan S. Blinder, 2010. "How Central Should the Central Bank Be?," Journal of Economic Literature, American Economic Association, vol. 48(1), pages 123-133, March.
    3. John P. Jackson & Mark J. Manning, 2007. "Central Bank intraday collateral policy and implications for tiering in rtgs payment systems," DNB Working Papers 129, Netherlands Central Bank, Research Department.
    4. Sheila Dow, 2019. "Monetary Reform, Central Banks, and Digital Currencies," International Journal of Political Economy, Taylor & Francis Journals, vol. 48(2), pages 153-173, April.
    5. Alan S. Blinder, 2010. "How Central Should the Central Bank Be?," Journal of Economic Literature, American Economic Association, vol. 48(1), pages 123-133, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Benjamin Born & Michael Ehrmann & Marcel Fratzscher, 2011. "How Should Central Banks Deal with a Financial Stability Objective? The Evolving Role of Communication as a Policy Instrument," Chapters, in: Sylvester Eijffinger & Donato Masciandaro (ed.), Handbook of Central Banking, Financial Regulation and Supervision, chapter 9, Edward Elgar Publishing.
    2. Masciandaro, Donato, 2022. "Independence, conservatism, and beyond: Monetary policy, central bank governance and central banker preferences (1981–2021)," Journal of International Money and Finance, Elsevier, vol. 122(C).
    3. Paul D. Mueller, 2016. "Public and Private Institutions in the Federal Reserve," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 31(Fall 2016), pages 49-68.
    4. Donato Masciandaro, 2018. "Central Banks And Macroprudential Policies: Economics And Politics," BAFFI CAREFIN Working Papers 1878, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    5. Canuto, Otaviano & Cavallari, Matheus, 2013. "Asset Prices, Macroprudential Regulation, and Monetary Policy," World Bank - Economic Premise, The World Bank, issue 116, pages 1-8, May.
    6. Kazi, Irfan Akbar & Wagan, Hakimzadi & Akbar, Farhan, 2013. "The changing international transmission of U.S. monetary policy shocks: Is there evidence of contagion effect on OECD countries," Economic Modelling, Elsevier, vol. 30(C), pages 90-116.
    7. Gogas, Periklis & Papadimitriou, Theophilos & Matthaiou, Maria-Artemis, 2016. "Bank supervision using the Threshold-Minimum Dominating Set," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 23-35.
    8. Blinder, Alan S., 2010. "The Squam Lake Report: Fifteen economists in search of financial reform," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 892-902, October.
    9. Ricardo Reis, 2013. "Central Bank Design," Journal of Economic Perspectives, American Economic Association, vol. 27(4), pages 17-44, Fall.
    10. Periklis Gogas & Theophilos Papadimitriou & Maria-Artemis Matthaiou, 2014. "A Novel Banking Supervision Method Using the Minimum Dominating Set," Springer Optimization and Its Applications, in: Valery A. Kalyagin & Panos M. Pardalos & Themistocles M. Rassias (ed.), Network Models in Economics and Finance, edition 127, pages 277-286, Springer.
    11. Zafar Hayat, 2017. "Pakistan’s Monetary Policy: Some Fundamental Issues," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 56(1), pages 31-58.
    12. Doumpos, Michael & Gaganis, Chrysovalantis & Pasiouras, Fotios, 2015. "Central bank independence, financial supervision structure and bank soundness: An empirical analysis around the crisis," Journal of Banking & Finance, Elsevier, vol. 61(S1), pages 69-83.
    13. Günes Kamber & Özer Karagedikli & Christie Smith, 2015. "Applying an Inflation-Targeting Lens to Macroprodential Policy "Institutions"," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 395-429, September.
    14. Svensson, Lars E.O., 2010. "Inflation Targeting," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 22, pages 1237-1302, Elsevier.
    15. Issing, Otmar, 2011. "Lessons for monetary policy: What should the consensus be?," CFS Working Paper Series 2011/13, Center for Financial Studies (CFS).
    16. Dalla Pellegrina, L. & Masciandaro, D. & Pansini, R.V., 2013. "The central banker as prudential supervisor: Does independence matter?," Journal of Financial Stability, Elsevier, vol. 9(3), pages 415-427.
    17. Irfan Akbar Kazi & Hakimzadi Wagan & Farhan Akbar, 2012. "The changing international transmission of US monetary policy shocks: is there evidence of contagion effect on OECD countries," Working Papers hal-04141067, HAL.
    18. Paul A Wachtel, 2011. "Central Banking for the 21st Century: An American Perspective," Chapters, in: Ewald Nowotny & Peter Mooslechner & Doris Ritzberger-Grünwald (ed.), Post-Crisis Growth and Integration in Europe, chapter 10, Edward Elgar Publishing.
    19. R. P. Agenor & K. Alper & L. Pereira da Silva, 2013. "Capital Regulation, Monetary Policy, and Financial Stability," International Journal of Central Banking, International Journal of Central Banking, vol. 9(3), pages 198-243, September.
    20. José Américo Pereira Antunes & Claudio Oliveira De Moraes & Gabriel Caldas Montes, 2016. "Bank Regulatory Capital, Risk-Taking Channel And Monetary Policy: Evidence From An Inflation Targeting Emerging Economy," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 042, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

    More about this item

    Keywords

    central bank; artificial intelligence; financial stability; responsible AI; artificial intelligence model.;
    All these keywords.

    JEL classification:

    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:120151. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.