GDPR Art. 5(2): accountability for a model anonymity claim
A controller that claims a trained model holds no personal data must be able to demonstrate it; the EDPB sets an anonymity test and the evidence it expects
AIGE-OBL-GDPR-ART5-2. Drawn from chapter 08.
Text alternative
- Clause: GDPR, Art. 5.
- Duty holder: Controller.
- Applies from: 2018-05-25, In force.
- Artefact: Anonymity evidence pack.
- Layers: Layer 03, Layer 05.
- Evidence record: Evidence record v1.
- Record schema: Evidence record.
- No crosswalk topic files this clause yet.
- Id
AIGE-OBL-GDPR-ART5-2- Instrument
- General Data Protection Regulation (EU) 2016/679 law
- Clause
- Art. 5(2)
- In scope
- Controller (model developer)
- Authority
- National data protection authority
- Applies from
- In force
The artefact that evidences it
Anonymity evidence pack; membership-inference and extraction evals in the eval gate.
Patterns that build it
No pattern in the catalogue names this clause on its "Maps to" line yet; the artefact above is the engineering answer.
Source
Chapter 08, section The GDPR, checked against its sources on the review date above.
Machine-readable
- This obligation:
/api/v1/obligations/aige-obl-gdpr-art5-2.json - The register:
/api/v1/obligations.json· CSV - Schema and stability promise: open data and API
Cite this obligation
García Aibar, J. (2026). GDPR Art. 5(2): accountability for a model anonymity claim (AIGE-OBL-GDPR-ART5-2). In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0). https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/obligations/aige-obl-gdpr-art5-2. CC BY 4.0
BibTeX
@misc{aige2026obligation,
author = {Jorge García Aibar},
title = {{GDPR Art. 5(2): accountability for a model anonymity claim (AIGE-OBL-GDPR-ART5-2)}},
howpublished = {In AI Governance Engineering: The Thesis \& Body of Knowledge},
year = {2026},
version = {0.5.0},
doi = {10.5281/zenodo.22956197},
url = {https://aigovernanceengineer.com/obligations/aige-obl-gdpr-art5-2},
note = {Version 0.5.0}
}