Privacy Impact Assessments for AI-Enabled Applications in Hong Kong
Aligning AI product launches with the Personal Data (Privacy) Ordinance and the PCPD's guidance — a PIA scoping template for product and legal teams.
The PCPD's expectations for AI systems that process personal data have sharpened. A Privacy Impact Assessment is no longer optional for consumer-facing AI features — it is the primary artifact regulators, boards, and enterprise customers ask for.
A defensible PIA answers five questions: what personal data flows into the model, what inferences it produces, who can access those inferences, how long data is retained, and what rights data subjects can exercise. Each question maps to specific Ordinance Data Protection Principles.
For AI-enabled applications specifically, we recommend documenting training-data provenance, human-in-the-loop review points, and the mechanism for correcting inaccurate inferences. These are the areas we see fail most often under regulator scrutiny.
Run the PIA before feature launch, not after. Retrofitting privacy into a deployed AI system is significantly more expensive than designing it in from the start.
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