Plain-language definitions for 251 AI terms, from machine learning to the EU AI Act. Each entry has a clear definition, comparisons, and a concrete example.
The dictionary covers machine learning, neural networks, generative AI, and AI governance, written for readers who need to understand the technology without building it.
Every entry follows the same structure: a definition you can read in one breath, an explanation of how the thing works, a comparison table where two terms are commonly confused (test set vs validation set, AI audit vs AI assessment), and a concrete example – real cases like the EU AI Act’s risk tiers or the panda-to-gibbon adversarial attack wherever one exists.
Where most AI glossaries stop at the technology, this one also covers the rules around it: the EU AI Act, AI audits, impact assessments, transparency, and the rest of the governance vocabulary that now shows up in contracts and compliance reviews.
Every entry was updated in July 2026.
Ten entries that anchor the rest of the dictionary. If artificial intelligence is new territory, start here.
Every term in the dictionary, in alphabetical order. Jump to a letter or scroll the full list.