IMF Working Papers

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Format: Chicago

Parma Bains, Gabriela E Conde, Rangachary Ravikumar, and Ebru S Iskender. "AI Projects in Financial Supervisory Authorities", IMF Working Papers 2025, 199 (2025), accessed 11/19/2025, https://doi.org/10.5089/9798229025263.001

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Disclaimer: IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.

Summary

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.

Subject: Data collection, Economic and financial statistics, Economic sectors, Financial Sector, Infrastructure, National accounts, Technology

Keywords: AI governance, AI project, Artificial Intelligence, Data collection, Data governance, Deep Learning, DevOps, Financial sector, Generative AI, Global, Infrastructure, Machine Learning, machine learning operation, MLOps, Project team