Trends from 20 years of Artificial Intelligence in Financial Services in Africa

The need for financial inclusion in Africa, particularly for marginalised groups like women and small businesses, highlights the importance of leveraging Artificial Intelligence (AI). This study provides a bibliometric analysis of AI's integration into African financial services from 2003 to 2023. The key results show a significant increase in AI use, particularly in fraud detection, credit risk prediction, and stock market volatility forecasting, with 49% of the research coming from South Africa, Nigeria, and Tunisia. However, areas like financial development management, inflation control, and gender disparities in loan access remain underexplored. The emphasis has been on the technical implementation of AI at the expense of important African contextual issues such as ethics, infrastructure barriers, data privacy, data sovereignty, and the risk of excluding marginalised groups. The study recommends expanding AI applications to drive financial inclusion, strengthening regulatory frameworks for ethical AI deployment, and addressing gender inclusivity and financial development management.

Publication Details

Journal
DigitalCommons - Kennesaw State University (Kennesaw State University)
Published
2024-09-13
Primary Topic
Microfinance and Financial Inclusion
Type
article
Field-Weighted Citation Impact
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article

Trends from 20 years of Artificial Intelligence in Financial Services in Africa

DigitalCommons - Kennesaw State University (Kennesaw State University)
Microfinance and Financial Inclusion
article

Trends from 20 years of Artificial Intelligence in Financial Services in Africa

article en

Abstract

The need for financial inclusion in Africa, particularly for marginalised groups like women and small businesses, highlights the importance of leveraging Artificial Intelligence (AI). This study provides a bibliometric analysis of AI's integration into African financial services from 2003 to 2023. The key results show a significant increase in AI use, particularly in fraud detection, credit risk prediction, and stock market volatility forecasting, with 49% of the research coming from South Africa, Nigeria, and Tunisia. However, areas like financial development management, inflation control, and gender disparities in loan access remain underexplored. The emphasis has been on the technical implementation of AI at the expense of important African contextual issues such as ethics, infrastructure barriers, data privacy, data sovereignty, and the risk of excluding marginalised groups. The study recommends expanding AI applications to drive financial inclusion, strengthening regulatory frameworks for ethical AI deployment, and addressing gender inclusivity and financial development management.

DigitalCommons - Kennesaw State University (Kennesaw State University)
Reduced inequalities
Openalex Percentile: Top 28%
Microfinance and Financial Inclusion
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