AI Projects in Financial Supervisory Authorities

This paper discusses the imperative for financial supervisory authorities to enhance their toolkit through the adoption of Artificial Intelligence in response to the growing digitalization of financial services. It aims to assist authorities in safely and effectively overseeing applications of Artificial Intelligence in the financial sector by proposing a tailored project management methodology for implementation of Artificial Intelligence by financial supervisory authorities that address unique risks and align initiatives with strategic goals. Key challenges, including ensuring explainability and mitigating bias, with a focus on stakeholder collaboration, are emphasized, alongside prerequisites for successful deployment, such as robust governance frameworks and adequate resources.

Publication Details

Journal
IMF Working Paper
Published
2025-10-01
DOI
https://doi.org/10.5089/9798229025263.001
Citations
3
Primary Topic
Machine Learning and Data Classification
Type
article
Field-Weighted Citation Impact
7.44
Controls
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article

AI Projects in Financial Supervisory Authorities

3 citations
IMF Working Paper
Machine Learning and Data Classification
7.44
article

AI Projects in Financial Supervisory Authorities

article en
3 citations

Abstract

This paper discusses the imperative for financial supervisory authorities to enhance their toolkit through the adoption of Artificial Intelligence in response to the growing digitalization of financial services. It aims to assist authorities in safely and effectively overseeing applications of Artificial Intelligence in the financial sector by proposing a tailored project management methodology for implementation of Artificial Intelligence by financial supervisory authorities that address unique risks and align initiatives with strategic goals. Key challenges, including ensuring explainability and mitigating bias, with a focus on stakeholder collaboration, are emphasized, alongside prerequisites for successful deployment, such as robust governance frameworks and adequate resources.

IMF Working PaperVol. 2025(199)
Partnerships for the goals
Openalex Percentile: Top 3%
Machine Learning and Data Classification
7.44
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