AI Governance Engineer
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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.

Model anonymity: mentions per chapter1 mention of the term across 1 of the 23 chapters of the Body of Knowledge; the chapters the glossary cross-references are drawn solid.Cross-referenced chapter19 Privacy & AI: 1 mention19 Privacy & AI1No mentions in the other 22 chaptersSource: the Body of Knowledgev0.5.0
Model anonymity: mentions per chapter1 mention of the term across 1 of the 23 chapters of the Body of Knowledge; the chapters the glossary cross-references are drawn solid.Cross-referenced chapter00010203040506070810111213141516171819 Privacy & AI: 1 mention11920212223Source: the Body of Knowledge v0.5.0
Mentions per chapter How often each chapter names the term, with the chapters the glossary cross-references drawn solid. The longest bar is where to read the term in use; bars spread across many chapters mark a term that runs through the discipline.
Mentions as a table
Mentions of Model anonymity per chapter
ChapterMentionsCross-referenced
00 Preface0No
01 Definition0No
02 Why Now0No
03 Values & Principles0No
04 The Stack0No
05 Patterns0No
06 The Role0No
07 Maturity Model0No
08 Regulatory Map0No
10 Reading List0No
11 AI Defined0No
12 Governance Program0No
13 Risk Management0No
14 Development0No
15 Deployment0No
16 Fairness & XAI0No
17 Incidents0No
18 EU AI Act0No
19 Privacy & AI1Yes
20 Existing Law0No
21 AI Laws Worldwide0No
22 Principles & Standards0No
23 AI Agents0No
  • 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}
}