Concept#AI#Governance
AI Safety
AI safety concerns principles, methods and governance to ensure AI systems act reliably, predictably and without causing harm. It covers risk assessment, robustness, transparency and regulatory measures. The goal is to prevent unintended harms and reduce long-term risks. It combines technical, organizational and legal perspectives.
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
Discovery
Assessment
Complexityi
High
Maturityi
Emerging
Cognitive loadi
High
Context in the model
Structural placement
Where this block lives in the structure.
No structure path available.
Relations
Connected blocks
Directly linked content elements.
Structure · Contains
(2)