Expert-Driven Monitoring of Operational ML Models
Joran Leest Claudia Raibulet Ilias Gerostathopoulos Patricia Lago
We propose Expert Monitoring, an approach that leverages domain expertise to
enhance the detection and mitigation of concept drift in machine learning (ML)
models. Our approach supports practitioners by consolidating domain expertise
related to concept drift-inducing events, making this expertise accessible to
on-call personnel, and enabling automatic adaptability with expert oversight.