Author(s): Shruti Shukla, Hariom Gupta and Vikas Kumar Tiwari

Abstract: FinTech's incorporation of generative artificial intelligence (AI) is transforming financial services by providing individualized finance solutions with cutting-edge natural language processing (NLP) and machine learning (ML) technology. GenAI rallies decision-making and consumer engagement by offering dynamic, real-time, and adaptive financial support, in contrast to standard financial algorithms that trail preset criteria. Even yet, GenAI presents a number of difficulties, most notably the "black box" problem, which occurs when AI-driven financial decisions are opaque and difficult to comprehend. In financial ecosystems driven by AI, this presents important questions about explainability, trust, fairness, and responsibility. This study highlights the inevitability of solid regulatory frameworks and interpretable AI models to enable moral and trustworthy financial decision-making. By examining the benefits, drawbacks, and implications of GenAI in FinTech, this study emphasizes how crucial it is to deploy AI responsibly by addressing the issue of “black-box”.

DOI: 10.33545/27076571.2025.v6.i2b.184

Pages: 107-114 | Views: 216 | Downloads: 94

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