Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning

The article highlights the critical issue of data leakage in machine learning, which can lead to overly optimistic performance estimates and unreliable models, especially when practitioners with limited ML expertise use user-friendly tools. It emphasizes the importance of addressing data leakage across different ML frameworks, including transfer learning, to ensure more robust and trustworthy AI applications.