Key terms for AI governance
This glossary was originally published in October 2023 and has been updated several times since to reflect the developing state of the art for AI governance. The updated version has been developed with reference to various materials and with valuable feedback from top experts in AI governance. It includes new terms and modifications to existing terms.
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Safety
Semi-supervised learning
Small language models
Supervised learning
Synthetic data
System card
Training data
Transfer learning model
Transformer model
Transparency
Trustworthy AI
Turing test
Underfitting
Unsupervised learning
Validation data
Variables
Variance
Watermarking
Weights