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Model anonymity

By Updated

The EDPB's test for when a trained model falls outside the GDPR: both direct extraction of training subjects' data and obtaining it through queries must be insignificant, given all means reasonably likely to be used 1. Evidenced by design records and attack evals.

Developed in
ch. 19, The EDPB anonymity test
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.

  • Evals

    Automated tests of a model's or agent's behaviour (capability, safety and adversarial), run as controls, not as one-off research.

Sources

  1. [1] Opinion 28/2024 on certain data protection aspects related to the processing of personal data in the context of AI models (three-step legitimate-interest test; anonymity test and evidence). European Data Protection Board. 2024-12-17. https://www.edpb.europa.eu/system/files/2024-12/edpb_opinion_202428_ai-models_en.pdf (verified: primary)

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

Cite this term

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

BibTeX

@misc{aige2026modelanonymity,
  author  = {Jorge García Aibar},
  title   = {{Model anonymity}},
  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/model-anonymity}
}