Concept#Governance#Artificial Intelligence
Model Governance
Model governance defines processes, roles and rules for the safe, transparent and accountable use of models, particularly machine learning models. It aims at compliance, reproducibility and continuous monitoring across the model lifecycle. Implementation requires clear policies, assigned responsibilities and technical tool support.
This block bundles baseline information, context, and relations as a neutral reference in the model.
Open 360° detail view
Definition · Framing · Trade-offs · Examples
What is this view?
This page provides a neutral starting point with core facts, structure context, and immediate relations—independent of learning or decision paths.
Baseline data
Context
Organizational leveli
Enterprise
Organizational maturityi
Intermediate
Impact areai
Organizational
Decision
Decision typei
Organizational
Value stream stagei
Run
Assessment
Complexityi
High
Maturityi
Emerging
Cognitive loadi
High
Context in the model
Structural placement
Where this block lives in the structure.
Relations
Connected blocks
Directly linked content elements.
Process · Enables
(1)