China PIPL Art. 24: automated decision-making and Arts. 55–56 impact assessment
Automated decisions stay transparent and fair, with no unreasonable differential treatment in prices or terms; targeted pushes offer a non-personalised option or an easy refusal; individuals may request an explanation and refuse solely automated decisions with a significant impact; an impact assessment beforehand, kept at least three years
AIGE-OBL-CN-PIPL-ART24. Drawn from chapter 08.
Text alternative
- Clause: China PIPL, PIPL Arts. 24, 55–56.
- Duty holder: Personal information processors.
- Applies from: 2021-11-01, In force.
- Artefact: Explanation service and manual-decision….
- Layers: Layer 02, Layer 04, Layer 05.
- Evidence record: Evidence record v1.
- Record schema: Evidence record.
- No crosswalk topic files this clause yet.
- Id
AIGE-OBL-CN-PIPL-ART24- Instrument
- China Personal Information Protection Law (PIPL) law
- Clause
- PIPL Arts. 24, 55–56
- In scope
- Personal information processors
- Authority
- CAC and other departments
- Applies from
- In force · Binding; in force 2021-11-01
The artefact that evidences it
Explanation service and manual-decision route; non-personalised option at runtime; impact assessment record kept three years.
- L2 Inventory & Transparency
- L4 Runtime Controls & Observability
- L5 Assurance & Continuous Compliance
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 China, checked against its sources on the review date above.
Machine-readable
- This obligation:
/api/v1/obligations/aige-obl-cn-pipl-art24.json - The register:
/api/v1/obligations.json· CSV - Schema and stability promise: open data and API
Cite this obligation
García Aibar, J. (2026). China PIPL Art. 24: automated decision-making and Arts. 55–56 impact assessment (AIGE-OBL-CN-PIPL-ART24). 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-cn-pipl-art24. CC BY 4.0
BibTeX
@misc{aige2026obligation,
author = {Jorge García Aibar},
title = {{China PIPL Art. 24: automated decision-making and Arts. 55–56 impact assessment (AIGE-OBL-CN-PIPL-ART24)}},
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-cn-pipl-art24},
note = {Version 0.5.0}
}