concept#Governance#Artificial Intelligence#Data#Security

Model Governance

Framework for controlling, monitoring and accountability of models, especially ML models. Focuses on compliance, reproducibility and lifecycle control.

Model governance defines processes, roles and rules for the safe, transparent and accountable use of models, particularly machine learning models.

Maturity

Emerging

Cognitive loadHigh

360° overview

Model Governance

Six perspectives place the building block in context. The numbers show where each perspective continues in the reading path.

The building block at a glance

Model Governance

360°

Classification

2

Complexity: High
Impact area: Organizational

Technical context

2

Integrations

Model registries (e.g., MLflow)

+2

Principles & goals

1

Clear responsibilities for model ownership and decisions.

Value stream stage: Run

Use cases & scenarios

4

Use cases: 3
Scenarios: 3

Compromises

3

Risks: 3
Best practices: 3

I/O & resources

4

Inputs: 3
Outputs: 3