Bias Monitor

A Bias Monitor in ModelOp Center is a specialized type of associated model that tests whether a model exhibits biased or unfair treatment of protected groups (e.g., gender, race, age). Bias monitors can compute metrics such as false positive rate disparities, statistical parity, and impact ratios. ModelOp provides out-of-the-box bias monitors and supports custom bias metric development using open-source libraries like Aequitas. These monitors help ensure compliance with ethical AI standards and regulatory requirements for fairness in machine learning.

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