R. A. Bush

Non-invasive fairness drift monitor for machine learning models using conformance constraints

Machine learning models deployed in consequential domains can become unfair toward protected subgroups as the data they receive drifts over time, yet the protected attributes needed to measure fairness directly are often unavailable at runtime due to privacy regulation and operational constraints. This creates a gap: e...