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Governance and implementation of artificial intelligence in central banks

Author

Listed:
  • Douglas Araujo
  • Rafael Schmidt
  • Olivier Sirello
  • Bruno Tissot
  • Ricardo Villarreal

Abstract

No abstract is available for this item.

Suggested Citation

  • Douglas Araujo & Rafael Schmidt & Olivier Sirello & Bruno Tissot & Ricardo Villarreal, 2025. "Governance and implementation of artificial intelligence in central banks," IFC Reports 18, Bank for International Settlements.
    • Handle: RePEc:bis:bisifr:18
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    File URL: https://www.bis.org/ifc/publ/ifc_report_18.pdf
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    References listed on IDEAS

    as
    1. Nicola Jones, 2024. "The AI revolution is running out of data. What can researchers do?," Nature, Nature, vol. 636(8042), pages 290-292, December.
    2. Kase, Hanno & Melosi, Leonardo & Rottner, Matthias, 2022. "Estimating Nonlinear Heterogeneous Agents Models with Neural Networks," CEPR Discussion Papers 17391, Centre for Economic Policy Research.
    3. Wendy E. Dunn & Raakin Kabir & Ellen E. Meade & Nitish R. Sinha, 2024. "Using Generative AI Models to Understand FOMC Monetary Policy Discussions," FEDS Notes 2024-12-06-1, Board of Governors of the Federal Reserve System (U.S.).
    4. Leonardo Gambacorta & Han Qiu & Shuo Shan & Daniel M Rees, 2024. "Generative AI and labour productivity: a field experiment on coding," BIS Working Papers 1208, Bank for International Settlements.
    5. Byeungchun Kwon & Taejin Park & Fernando Perez-Cruz & Phurichai Rungcharoenkitkul, 2024. "Large language models: a primer for economists," BIS Quarterly Review, Bank for International Settlements, December.
    6. Leland D. Crane & Michael Green & Paul E. Soto, 2025. "Measuring AI Uptake in the Workplace," FEDS Notes 2025-02-05, Board of Governors of the Federal Reserve System (U.S.).
    Full references (including those not matched with items on IDEAS)

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    Cited by:

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