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Reproducibility package for Artificial Intelligence For Financial Sector Supervision: An Emerging Market And Developing Economies Perspective

2025
Get Reproducibility Package
Reference ID
FR_WLD_2025_467
DOI
https://doi.org/10.60572/t25f-v995
Author(s)
Erik Feyen, Serafin Martinez Jaramillo, Sergio José de Mesquita Gomes, Yasemin Palta, Arpita Sarkar, Srishti Sinha, Gian Boeddu, Alexandra Gutiérrez Traverso
Collections
Flagships and Reports
Metadata
JSON
Created on
Oct 22, 2025
Last modified
Nov 06, 2025
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation

    • Overview

    Abstract

    This report provides an overview of the state of AI adoption for financial sector supervision in emerging market and developing economies.

    Reproducibility Package

    Scripts
    Get Reproducibility Package
    File name
    FR1_WLD_2025_467
    Zip package
    FR1_WLD_2025_467.zip
    Title
    Reproducibility package for Artificial Intelligence For Financial Sector Supervision: An Emerging Market And Developing Economies Perspective
    Date
    2025-10
    Instructions
    See README in reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Name
    Excel
    Version
    Microsoft Excel for Microsoft 365 MSO (Version 2507)

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    • OS: Windows 11 Enterprise, version 24H2
    • Processor: Intel(R) Core(TM) Ultra 7 165U (2.10 GHz)
    • Memory available: 32 GB
    Reproduction instructions

    1. Obtain the data: All data used in the package are restricted. Figure generation from the original data is not possible without data access.
    2. Replicate data preparation: data filtering, aggregation, segmentation, counts, and percentages are explained in the sheet for each figure included in the Excel file of the reproducibility package. Users who gain access to the raw data can use these instructions to generate the working data for each figure and recreate all plots.

    Since no data raw data are include in the reproducibility package, it includes the figure generation from working data prepared for each figure in the Excel file "G20AI_Data_Graph_Reproducibility_15October-plots_only.xlsx". Users can use this file to verify that the Excel results are the same as the report exhibits.

    Data

    Datasets
    Name
    Survey data on artificial intelligence adoption in financial sector supervision across emerging markets and developing economies
    Note
    Source: World Bank. The data was collected by the report authors between June 13, 2025 and July 25, 2025. The final data version was accessed on October 15, 2025. Original data was included in the sheet "MetaData" of the file "G20AI_Data_Graph_Reproducibility_15October.xlsx". As the data cannot be included in the reproducibility package, the sheet "MetaData" was deleted from "G20AI_Data_Graph_Reproducibility_15October.xlsx".
    Access policy
    Data access was collected directly by the report authors. It was obtained with a custom data license that does not allow for redistribution and it is not included in the reproducibility package. Data is forthcoming in the Development Data Hub with an internal classification access of "Confidential". Access requests will have to be approved by the authors.
    Citation
    World Bank. n.d. "Survey data on artificial intelligence adoption in financial sector supervision across emerging markets and developing economies [dataset]". Unpublished data. Accessed on October 15, 2025.
    Data statement

    All data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file.

    Description

    Output
    Type
    World Bank Reports & Flagships
    Title
    Artificial Intelligence For Financial Sector Supervision: An Emerging Market And Developing Economies Perspective
    URL
    https://documents1.worldbank.org/curated/en/099110525115015626/pdf/P180967-538291e2-656d-4682-adba-4f314244f6fd.pdf
    Authors
    Author Affiliation Email
    Erik Feyen World Bank efeijen@worldbank.org
    Serafin Martinez Jaramillo World Bank smartinezjaramil@worldbank.org
    Sergio José de Mesquita Gomes World Bank smesquita@worldbank.org
    Yasemin Palta World Bank ypalta@worldbankgroup.org
    Arpita Sarkar World Bank asarkar1@worldbank.org
    Srishti Sinha World Bank ssinha16@worldbank.org
    Gian Boeddu World Bank gboeddu@worldbank.org
    Alexandra Gutiérrez Traverso World Bank agutierreztraver@worldbank.org
    Date of production

    2025-10-20

    Scope and coverage

    Geographic locations
    Location Code
    World WLD
    Keywords
    Financial supervision AI Suptech

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Access and rights

    License
    Name URI
    Modified BSD3 https://opensource.org/license/bsd-3-clause/

    Contacts

    Contacts
    Name Affiliation Email
    Erik Feyen World Bank Group efeijen@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DECDI World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    2025-10-20
    Document version

    1

    Citation

    Citation
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