Understanding Data Leakage in AI

This chapter explores the issue of data leakage in AI systems, showcasing how it can result in misleading performance metrics. Through a case study in healthcare, it highlights the critical need for rigorous validation to ensure AI tools perform as expected and do not propagate errors.