Human review and edge case scoring involves manual evaluation of ambiguous or rare scenarios that automated systems struggle to handle. It ensures accuracy by identifying outliers, refining models, or validating critical decisions. Data scientists, QA teams, and compliance officers benefit most, as it reduces errors, improves algorithm robustness, and safeguards against costly oversights in high-stakes applications like finance or healthcare.
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