Ethical Concerns in Model Deployment

Hard

culture-fit Apple Google Meta

While auditing a credit scoring model before deployment, you discover it has significantly different false positive rates across racial groups, despite race not being an explicit feature. What should you do?

Multiple Choice

Deploy the model since race is not an explicit input feature, so it cannot be discriminatory Raise the concern to leadership with evidence, recommend delaying deployment, and propose fairness-aware modeling techniques to mitigate the disparity Remove all features correlated with race and retrain without further analysis Add a disclaimer to the model documentation noting the disparity but proceed with deployment

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Ethical Concerns in Model Deployment

Multiple Choice

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