Model Governance
Definition
Model governance defines roles, rules, and controls over the lifecycle of models.
Roles, rules, and controls for selection, approval, operation, modification, and decommissioning of models.
Simply explained
How operational rules with clear responsibilities and decisions apply to a tool that is regularly changed.
Why it matters in practice
Supports informed decisions, governance, and effective AI deployment.
Example from business
An approval committee documents purpose, risks, tests, ownership, and fallback plan.
Limits and pitfalls
- Understanding governance as mere document storage or assigning responsibility without decision rights.
Origin & history
Model governance originates from model risk management and has been extended to AI systems.
Use in mid-sized companies
- Possible application: A company defines responsible roles and decision rights for models. Purpose, risks, tests, changes, and decommissioning are documented with verifiable approval criteria.
Frequently asked questions
What does model governance mean?
Roles, rules, and controls for selection, approval, operation, modification, and decommissioning of models.
Which mistakes should be avoided?
Understanding governance as mere document storage or assigning responsibility without decision rights.
Sources
Source verified on 10.10.2026. Editorial use cases are hypothetical; no evidence of real customer results.
Editorially reviewed on: