A financial institution is developing an AI model aws video
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A financial institution is developing an AI model to assess customer credit risk. Regulatory auditors require the model's decision-making process to be understandable. The data science team is debating whether to use a complex deep learning model or a simpler logistic regression model. What is the best approach to meet both regulatory and business needs?