AI Compliance Glossary
Plain-English definitions for AI compliance and governance terms, sourced to the regulation or standard that actually uses them.
Vendors and regulators don't always use the same words for the same thing, and that gap causes real confusion — "high-risk," for instance, means something specific and different under the EU AI Act than it does under Colorado's statute. Every term here is defined the way the relevant regulation or standard actually uses it, with a citation, not the way a product marketing page uses it.
3 terms so far, growing as new regulations and frameworks get covered.
A
- AI GovernanceThe structure of accountability, review, and decision rights a company puts in place to control how it builds, buys, and deploys AI systems.
- Algorithmic BiasA systematic pattern in a model's outputs that disadvantages a particular group, arising from training data, feature selection, or optimization choices rather than random error.
Frequently asked questions
- Why do definitions sometimes differ from what I've seen elsewhere?
- Because legal and technical terms in this space genuinely aren't standardized across sources — a term can have a specific statutory definition in one jurisdiction and a looser, more general meaning in common industry usage. We define terms the way the cited regulation or standard actually uses them, and note where usage diverges.