When Models Fail in the Field: Understanding the Reproducibility Problem Threatening Modern Machine Learning
Machine learning systems that perform brilliantly on benchmark datasets have a troubling habit of collapsing when deployed against real-world data. The mathematical and statistical roots of this reproducibility crisis are now among the most urgent challenges facing the next generation of data scientists and AI researchers.