Utilising Artificial Intelligence and Machine Learning for Regulatory Compliance in Financial Institutions

Zeeshan Syed 1
Oluwaseun Okegbola 1
Cynthia Abiemwense Akiotu 1
Publication typeBook Chapter
Publication date2024-11-27
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ISSN19352921, 1935293X
Abstract

This chapter explores the transformative potential of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing regulatory compliance within financial institutions. Following the 2008 financial crisis, increased regulation has driven the need for advanced solutions. AI and ML, integrated into Regulatory Technology (RegTech), offer significant benefits, including improved efficiency, reduced compliance costs, and enhanced risk management. This paper examines the application of RegTech tools in processing large datasets, identifying patterns, and predicting regulatory challenges. It also addresses the challenges associated with AI and ML, such as overfitting, decision-making opacity, and legal implications. Ultimately, AI and ML are critical to the future of regulatory compliance, offering financial institutions a path to more efficient adherence to complex regulations.

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Syed Z., Okegbola O., Akiotu C. A. Utilising Artificial Intelligence and Machine Learning for Regulatory Compliance in Financial Institutions // Advances in Electronic Commerce. 2024. pp. 269-296.
GOST all authors (up to 50) Copy
Syed Z., Okegbola O., Akiotu C. A. Utilising Artificial Intelligence and Machine Learning for Regulatory Compliance in Financial Institutions // Advances in Electronic Commerce. 2024. pp. 269-296.
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RIS Copy
TY - GENERIC
DO - 10.4018/979-8-3693-5966-2.ch010
UR - https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-5966-2.ch010
TI - Utilising Artificial Intelligence and Machine Learning for Regulatory Compliance in Financial Institutions
T2 - Advances in Electronic Commerce
AU - Syed, Zeeshan
AU - Okegbola, Oluwaseun
AU - Akiotu, Cynthia Abiemwense
PY - 2024
DA - 2024/11/27
PB - IGI Global
SP - 269-296
SN - 1935-2921
SN - 1935-293X
ER -
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BibTex (up to 50 authors) Copy
@incollection{2024_Syed,
author = {Zeeshan Syed and Oluwaseun Okegbola and Cynthia Abiemwense Akiotu},
title = {Utilising Artificial Intelligence and Machine Learning for Regulatory Compliance in Financial Institutions},
publisher = {IGI Global},
year = {2024},
pages = {269--296},
month = {nov}
}