Artificial Inteligence for Inclusion: A Public BRICS Financial AI Platform
https://doi.org/10.26794/2587-5671-2026-30-1-103-119
Abstract
The paper is a result of a comprehensive and systematic approach to reviewing the growing opportunities for BRICS countries in introducing artificial intelligence into a mutual financial platform. The subject of the study is the AI as a factor of BRICS cooperation and its growth in finance. The purpose of the study is to identify measures that stimulate the introduction of AI into a shared public financial infrastructure platform by implementing the methodological combination of structured and reproducible guidelines, incorporating elements of the PRISMA method in particular. The task of the research team is to search for scientific answers to the urgent questions of current artificial intelligence inequality between nations and to come to the conclusion that BRICS nations should develop and implement a shared public AI platform to enhance accessibility to general and specialized information as well as equity for marginalized communities in all member countries. It is pointed out that such AI platform have to be organized in a way that enshrines principles of data sovereignty. Mechanisms and international AI strategies for meeting the challenges are introduced. The developed proposal is unique. Other initiatives have not yet received adequate justification. The project of such a scale demands not only funding, but also dedicated professionals as well as open-source software development instruments. These issues represent promising areas for further research.
Keywords
JEL: F30, L80, L86, C80
About the Authors
K. ChettyaSouth Africa
Krish Chetty – PhD in Computing Sciences, Senior Research Manager
Pretoria
Competing Interests:
The authors have no conflicts of interest to declare.
N. Gopal
South Africa
Nirmala Gopal – PhD, Prof. in Criminology
Kwazulu Natal
Competing Interests:
The authors have no conflicts of interest to declare.
J. Josie
South Africa
Jaya Josie – PhD, Prof., Adjunct Professor
Cape Town, Western Cape
Competing Interests:
The authors have no conflicts of interest to declare.
W. Wen
China
Wu Wen – PhD, Prof., Executive Director of the International Research Center in Fintech Security
Haining, Zhejiang Province
Competing Interests:
The authors have no conflicts of interest to declare.
I. Yarygina
Russian Federation
Irina Yarygina – Dr. Sci. (Econ.), Prof., Head of Economics and Banking Business Department
Moscow
Competing Interests:
The authors have no conflicts of interest to declare.
M. Yudina
Russian Federation
Maria Yudina – Cand. Sci. (Soc.), Senior Research Fellow at the International Laboratory for Digital Transformation in Public Administration
Moscow
Competing Interests:
The authors have no conflicts of interest to declare.
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Review
For citations:
Chettya K., Gopal N., Josie J., Wen W., Yarygina I., Yudina M. Artificial Inteligence for Inclusion: A Public BRICS Financial AI Platform. Finance: Theory and Practice. 2026;30(1):103-119. https://doi.org/10.26794/2587-5671-2026-30-1-103-119
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