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.

翻译：我们提出专家监控方法，该方法利用领域专业知识增强机器学习模型概念漂移的检测与缓解能力。本方法通过整合与概念漂移诱发事件相关的领域专业知识、使这些知识可供值班人员访问，并在专家监督下实现自动适应性调整，从而为技术人员提供支持。