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

By Jorge García Aibar Reviewed 2026-09-24

From clause to evidence Build the artefact, then file every output it produces as a record that names 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.

When this obligation applies The first date in the row's status, then each later step: filled once its date has passed, outlined while it is still ahead of the review date.

Data table: the dates

Dates of AIGE-OBL-CN-PIPL-ART24
Date	Step	Detail
2021-11-01	In force	Binding; in force 2021-11-01

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: 2021-11-01 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.

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}
}