AI glossary · Machine learning
Synthetic data
Synthetic data is artificial data generated by computers, often by AI, to train or test models when real data is scarce, expensive or private.
In more detail
It can fill gaps, such as rare medical cases or unusual driving situations, and protect privacy because no real person’s records are used.
Synthetic data inherits the flaws of whatever produced it. Training models mostly on AI-generated content can gradually reduce quality, an effect researchers call model collapse.
Related terms
Training dataTraining data is the set of examples, such as text, images or past records, that an AI model learns from. Its quality and range shape what the model can do.Data augmentationData augmentation creates extra training examples by changing existing ones, such as flipping, cropping or recolouring photos, to help a model generalise.AI privacyAI privacy is about how AI tools collect, store and use your personal information, including what you type into chatbots and whether it is used for training.
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