AI Governance Engineer
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Data minimisation

By Updated

The GDPR principle that personal data must be adequate, relevant and limited to what the purpose needs 1. For AI it is argued feature by feature, applied to training snapshots, retrieval indexes, logs and eval sets, and evidenced by feature justifications and filter logs.

Developed in
ch. 19, Minimisation, privacy by design and PETs
Chapters
ch. 19, Privacy & AI
Source
1 numbered reference, listed below

Where it is used

One chapter of the Body of Knowledge uses the term. Each link opens the first section that does.

  • Privacy by design and by default

    The GDPR Article 25 duty to build data protection principles into processing through technical and organisational measures, and to process by default only the…

Sources

  1. [1] Regulation (EU) 2016/679 (General Data Protection Regulation) (Arts. 4(1), 4(5), 4(7), 4(8), 4(12), 4(14), 5, 6, 9, 12(3), 22, 25, 28(2) and 28(4), 30, 33, 35; Recital 26). Publications Office of the EU (EUR-Lex). 2016-04-27. https://eur-lex.europa.eu/eli/reg/2016/679/oj/eng (verified: primary)

Definitions of legal terms paraphrase the cited text, which governs. Dated statements are as of .

Cite this term

García Aibar, J. (2026). Data minimisation. In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0), Glossary. https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/glossary/data-minimisation. CC BY 4.0

BibTeX

@misc{aige2026dataminimisation,
  author  = {Jorge García Aibar},
  title   = {{Data minimisation}},
  note    = {Glossary, AI Governance Engineering: The Thesis \& Body of Knowledge, version 0.5.0},
  year    = {2026},
  doi     = {10.5281/zenodo.22956197},
  url     = {https://aigovernanceengineer.com/glossary/data-minimisation}
}