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.
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