4 questions before you choose the route.
This page identifies the right question and evidence. It does not determine the legal outcome on a reader’s facts.
Is the algorithm public-facing in China?
Feed, search, recommend, price display.
PublicWhat type is it under current CAC lists?
Recommendation vs GAI vs other.
TypeHave user controls been built?
Opt-out of targeting, explanation.
ControlsIs PIPL ADM also in play?
Scoring people.
PIPLWorking rule: CAC rules on recommendation algorithms require many public-facing ranking, recommendation and similar engines to file, publish user-control mechanisms, and meet content and labour-style fairness duties.
The signal ledger.
These facts move the question beyond a label and into a product, money-flow and control analysis.
Bring a compact evidence docket—not a pitch deck.
Give a compliance team or counsel the operating facts that reveal the perimeter.
Questions people ask before they build.
Short answers for orientation. The right result can change with the service model and current rules.
Does every ML model need filing?
No. The regime targets specified public information-service algorithms. An internal demand-forecast model is a different story.
Where is the long guide?
Keep using /china-consumer-digital-compliance-algorithm-pipl for the national narrative. This page is the focused filing definition.
Primary authorities
Reviewed sources support orientation, not a fact-specific assessment.
