Navigating Machine Learning Governance

This chapter explores the growing responsibilities related to machine learning systems and data management within organizations. It emphasizes accountability for feature contributions, operational challenges, and the importance of established engineering practices to ensure compliance and governance. The discussion encompasses innovative validation methods and the necessity for greater scrutiny of machine learning models, especially for organizations unaccustomed to regulatory frameworks.