AI in Mobile Banking: Ethical Challenges and Opportunities

The integration of artificial intelligence in mobile banking represents a significant evolution in the financial industry, transforming service delivery while presenting complex ethical considerations. Mobile banking platforms enhanced by AI technologies offer unprecedented opportunities for financial inclusion, particularly in underserved markets where traditional banking models have proven inefficient. These technologies enable streamlined onboarding, personalized services, and alternative credit assessment methods that expand access to formal financial systems. However, this advancement brings critical ethical challenges including privacy concerns related to extensive data collection, algorithmic biases that may perpetuate discrimination, and transparency issues stemming from complex

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Publication Details

Journal
Technix International Journal for Engineering Research
Published
2025-01-01
DOI
https://doi.org/10.56975/tijer.v12i5.157856
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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article

AI in Mobile Banking: Ethical Challenges and Opportunities

Sutheesh Sukumaran
Technix International Journal for Engineering Research
FinTech, Crowdfunding, Digital Finance
article

AI in Mobile Banking: Ethical Challenges and Opportunities

Sutheesh Sukumaran
article en

Abstract

The integration of artificial intelligence in mobile banking represents a significant evolution in the financial industry, transforming service delivery while presenting complex ethical considerations. Mobile banking platforms enhanced by AI technologies offer unprecedented opportunities for financial inclusion, particularly in underserved markets where traditional banking models have proven inefficient. These technologies enable streamlined onboarding, personalized services, and alternative credit assessment methods that expand access to formal financial systems. However, this advancement brings critical ethical challenges including privacy concerns related to extensive data collection, algorithmic biases that may perpetuate discrimination, and transparency issues stemming from complex

Technix International Journal for Engineering ResearchVol. 12(5)
University of Calicut (IN)
Decent work and economic growth
Openalex Percentile: Top 83%
FinTech, Crowdfunding, Digital Finance
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