Data labelling
Adding the correct answers or categories to raw data so it can be used for supervised learning or evaluation, often done by people. Labelling quality, consistency and the working conditions of labellers all affect the final model.
Related terms
Processing data so people can no longer be identified, by any means reasonably likely to be used. Truly anonymous data…
Data classificationLabelling information by sensitivity, such as public, internal, confidential and restricted, so people know what can g…
Data leakageSensitive information ending up somewhere it should not, such as confidential documents pasted into a consumer AI tool…
Data minimisationThe principle of using only the personal data you actually need for the purpose. In practice: strip names and irreleva…
Data processing agreementThe contract between an organisation and a supplier that processes personal data on its behalf, setting out what the s…
Data provenanceA record of where data came from, how it was collected and what has been done to it. It underpins decisions about lawf…
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