As ML systems become increasingly pervasive, the need for robust governance and compliance frameworks has become paramount. In this chapter, students will investigate the ethical, legal, and regulatory considerations surrounding the deployment of ML models, including data privacy, model fairness, and responsible AI practices. They will also learn about strategies for maintaining compliance and managing model risk throughout the ML Ops lifecycle.