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August 21, 2025Open Access

Responsible AI in FinTech Interfaces Balancing Innovation with Ethical User Experience Design

Key Points

User-centric design reduces algorithmic bias in AI-driven fintech interfaces, enhancing user trust and privacy.
The study identifies critical challenges in ethical UX design, focusing on data privacy and algorithmic bias issues.
Mixed-methods approach combines qualitative and quantitative data to propose a responsible AI framework in FinTech.
Findings suggest prioritizing user experience can facilitate ethical practices in AI technology deployment.

Abstract

This research investigates the critical intersection of ethical considerations and user experience (UX) design in AI- driven FinTech interfaces. It explores how AI technologies are reshaping UX/UI within the financial sector, with a focus on addressing challenges related to algorithmic bias, data privacy, and user trust. The study employs a mixed-methods approach to analyze current practices and propose a framework for responsible AI implementation that prioritizes user-centric design and ethical principles in FinTech

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A Thu, study studied this question.

synapsesocial.com/papers/68af5231ad7bf08b1eada503 https://doi.org/https://doi.org/10.46632/jdaai/4/3/9

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