Your team is working on a new loan decision model that takes a number of...

When training data under-represents or skews certain groups, the resulting model can systematically discriminate against those groups—a phenomenon termed algorithmic discrimination in the CPMAI Glossary. Such bias in outcomes arises directly from biased training data.

Moreover, the CPMAI Exam Content Outline emphasizes that Trustworthy AI must apply laws pertaining to AI ethics, bias, and fairness to detect and remediate these issues early in the lifecycle.

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