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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Harnessing artificial intelligence to optimize financial technologies for achieving sustainable development goals.

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  • Harnessing artificial intelligence to optimize financial technologies for achieving sustainable development goals.

Oluwafemi Elias 1, Sunday David Esebre 2, Idris Abijo 3, Adesina Mayowa Timothy 4, Temitope Deborah Babayemi 5, Ebenezer O. Makinde 6, Oladiipo Ishola Oladepo 7 and Iyinoluwa Elizabeth Fatoki 8, *

1 Smith Business School, University of Maryland, USA.
2 Department of Mathematics and Statistics, College of Art and Science School: Texas Tech University, USA.
3 Department of Physics and Astronomy, University of Tennessee, TN, USA.
4 Data Analytics School, Kansas State University, KS, USA.
5 School of Business and Technology, Emporia State University, Emporia Kansas State, KS, USA.
6 Department of Political Science, Tulane University, New Orleans, Louisiana, USA.
7 Department of Communications Studies, New Mexico State University, USA.
8 Department of Computer Science, Western Illinois University, USA.
 
Review Article
World Journal of Advanced Research and Reviews, 2024, 23(02), 616-625
Article DOI: 10.30574/wjarr.2024.23.2.2385
DOI url: https://doi.org/10.30574/wjarr.2024.23.2.2385
 
Received on 29 June 2024; revised on 06 August 2024; accepted on 08 August 2024
 
This comprehensive review examines the convergence of Artificial Intelligence (AI), Financial Technologies (FinTech), and the United Nations Sustainable Development Goals (SDGs). It explores the transformative potential of AI in enhancing FinTech solutions to address global challenges outlined in the SDGs. The study provides an in-depth analysis of current AI applications in financial services, their impact on sustainable development, and emerging trends in this rapidly evolving field. Key findings reveal that AI-driven FinTech innovations can significantly contribute to financial inclusion, poverty reduction, and economic growth.
Machine learning algorithms are revolutionizing credit scoring, risk assessment, and fraud detection, while natural language processing is enhancing customer service and market analysis. Computer vision technologies are improving security measures and streamlining processes in the financial sector. However, the study also identifies critical challenges that must be addressed, including data privacy concerns, algorithmic bias, and the widening technological gap.
The review concludes with a series of recommendations for policymakers, financial institutions, and technology developers. These guidelines aim to promote the responsible and effective leverage of AI in FinTech to achieve the SDGs, emphasizing the need for ethical considerations, regulatory frameworks, and cross-sector collaboration. This research provides valuable insights for stakeholders working at the intersection of AI, FinTech, and sustainable development, offering a roadmap for harnessing these technologies to create a more inclusive and sustainable global financial ecosystem.
 
Artificial Intelligence (AI); Financial Technology (FinTech); Sustainable Development Goals (SDGs); Financial Inclusion; Machine Learning; Ethical AI
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2024-2385.pdf

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Oluwafemi Elias, Sunday David Esebre, Idris Abijo, Adesina Mayowa Timothy, Temitope Deborah Babayemi, Ebenezer O. Makinde, Oladiipo Ishola Oladepo and Iyinoluwa Elizabeth Fatoki. Harnessing artificial intelligence to optimize financial technologies for achieving sustainable development goals.. World Journal of Advanced Research and Reviews, 2024, 23(2), 616-625. Article DOI: https://doi.org/10.30574/wjarr.2024.23.2.2385

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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