What is model governance in MLOps?

Model governance ensures compliance, fairness, accountability, and traceability of ML systems.

Governance includes audit trails, model explainability, approval workflows, bias checks, and regulatory compliance. It ensures models meet legal and ethical standards. It is critical in industries like finance and healthcare.