A regulator requires that any customer refused credit be given the reasons. The data science team proposes a deep neural network that is two points more accurate than a logistic regression model. How should this be assessed?

• AAdopt the interpretable model, because a duty to give reasons makes explainability a requirement rather than a preference.
• BAdopt the neural network, since accuracy is the primary obligation to customers.
• CAdopt the neural network and have it generate an explanation of each refusal.
• DAdopt the neural network and publish a model card, which satisfies the requirement.