Explainable Data Pipelines: Improving Transparency in Machine Learning Systems

Abstract

While explainable AI has received substantial attention, explainability within data pipelines remains underexplored. This paper introduces the concept of explainable data pipelines that provide visibility into data transformations, quality checks, and lineage. The proposed framework enhances trust, regulatory compliance, and debugging efficiency in machine learning systems.