GDPR Arts. 15–17 and 21: data subject rights against trained models
Access, rectification, erasure and objection requests reach every place the data lives: corpus, snapshots, retrieval index, logs and, where it holds personal data, the model
AIGE-OBL-GDPR-ART15-17-21. Drawn from chapter 08.
Text alternative
- Clause: GDPR, Arts. 15–17 and 21.
- Duty holder: Controller.
- Applies from: 2018-05-25, In force.
- Artefact: Request workflow across corpus,….
- Layers: Layer 04, Layer 05.
- Evidence record: Evidence record v1.
- Record schema: Evidence record.
- No crosswalk topic files this clause yet.
- Id
AIGE-OBL-GDPR-ART15-17-21- Instrument
- General Data Protection Regulation (EU) 2016/679 law
- Clause
- Arts. 15–17 and 21
- In scope
- Controller
- Authority
- National data protection authority
- Applies from
- In force
The artefact that evidences it
Request workflow across corpus, snapshots, retrieval index, logs and weights; fulfilment record.
Patterns that build it
- Rights Requests Against Models (layer 2 and 5)
Open controls that evidence it
Draft controls in the open control profiles that map to this row: each states a requirement and the evidence it must leave behind.
-
AIGE-CTL-DATA-011Rights Changes Propagated to Affected Models (Data admission and privacy profile)
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-art15-17-21.json - The register:
/api/v1/obligations.json· CSV - Schema and stability promise: open data and API
Cite this obligation
García Aibar, J. (2026). GDPR Arts. 15–17 and 21: data subject rights against trained models (AIGE-OBL-GDPR-ART15-17-21). 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-art15-17-21. CC BY 4.0
BibTeX
@misc{aige2026obligation,
author = {Jorge García Aibar},
title = {{GDPR Arts. 15–17 and 21: data subject rights against trained models (AIGE-OBL-GDPR-ART15-17-21)}},
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-art15-17-21},
note = {Version 0.5.0}
}