Explainer Hub
What Is AI Governance?
AI governance is the policies, structures, processes, and controls that enable organisations to develop and use AI responsibly and accountably. It is not primarily about compliance — it is about building the management capability to get sustained value from AI while managing its risks.
AI Governance Concepts Explained
EU AI Act
The world's first comprehensive AI law
High-Risk AI
Annex III categories and what qualifies
NIST AI RMF
The most widely adopted AI governance framework
ISO 42001
The AI management system certification standard
AGI
Artificial General Intelligence explained
Agentic AI
AI that takes autonomous sequences of actions
Model Drift
Why AI performance degrades over time
AI Bias
Types, causes, and legal implications
AI Hallucination
When AI generates confident but wrong content
The five components of effective AI governance
01
AI Inventory
Know what AI systems you operate — completely and currently.
02
Risk Framework
Classify AI by risk level and apply proportionate governance.
03
Policy Architecture
Written policies that guide real decisions, not just principles.
04
Controls
Specific technical and operational measures that manage identified risks.
05
Monitoring
Ongoing assessment of AI performance and governance effectiveness.