Machine learning (ML) is increasingly used across industries. Fraud detection, demand sensing, and credit underwriting are a few examples of specific use cases. These machine learning models make decisions that affect everyday lives. Therefore, it’s imperative that model predictions are fair, unbiased, and nondiscriminatory. Accurate predictions become vital in high-risk applications where…
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