This article explores the importance of AI transparency in banking, indicating that it is crucial for building trust and reducing risks.
Artificial Intelligence now drives critical decisions in banking, but many of these models operate as opaque “black boxes” that even banks struggle to explain. The article explores how bias enters AI systems through data, features, and model drift, and why explainability and transparency are essential for trust. It presents a technical blueprint for responsible, auditable AI that strengthens customer confidence and reduces regulatory and operational risk.
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Neeraj K. Aggarwal (2023) studied this question.
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