AI Governance Glossary

Plain-language definitions of the terms that come up in every AI governance conversation — and get used loosely in most of them.

Algorithmic bias
When an AI system produces systematically unfair outcomes for a group of people, usually because of biased training data.
EU AI Act
The European Union's regulation of AI, based on a risk scale from banned to minimal. Read the plain-English guide.
Hallucination
When an AI confidently produces incorrect or fabricated information.
ISO 42001
The international standard for AI management systems — a framework for governing AI.
LLM (Large Language Model)
The type of AI model behind chatbots and text tools; trained on vast amounts of text data.
Model governance
The processes for managing AI models through their lifecycle: development, deployment, monitoring, retirement.
NIST AI RMF
The U.S. National Institute of Standards and Technology's AI Risk Management Framework.
Prompt injection
A technique where carefully crafted input makes an AI system behave outside its intended rules.
Shadow AI
AI tools used within an organisation without IT, security or compliance approval. Why it matters.
Transparency
The principle that people should be able to understand when AI is being used and how decisions are made.

Missing a term?

The glossary grows with the guides. Start with the ethics primer or the governance primer for the concepts behind the vocabulary.