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Imagine you're building a model for loan approvals. How do you make sure it doesn't discriminate?
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Answer Posted / Vinit Kumar Pandey
To ensure that the loan approval model does not discriminate, follow these steps: first, collect diverse training data to represent different demographics and credit profiles. Second, perform fairness evaluations on the model by checking for disparate impact, where certain groups are approved or denied loans at disproportionately higher rates than others. Third, use techniques such as adversarial training, fairness-aware optimization algorithms, and reweighing methods to adjust the model's decision-making process for greater fairness.
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