Is Data Minimisation in AI Development (Good Practice) legally binding?

Q: Is Data Minimisation in AI Development (Good Practice) legally binding?

Data Minimisation in AI Development (Good Practice) is guidance in Singapore. Voluntary guidance. Best practice, not obligation, until a contract or a regulator cites it. GUIDANCE recommending (not legally requiring) practice: use only personal data containing attributes required to train and improve the AI System, and limit volume by relevant time periods and filters, reducing data protection and cyber threat risks.

ObligationGuidance

Data Minimisation in AI Development (Good Practice)

Is this legally binding?

Guidance. Voluntary guidance. Best practice, not obligation, until a contract or a regulator cites it.

GUIDANCE recommending (not legally requiring) practice: use only personal data containing attributes required to train and improve the AI System, and limit volume by relevant time periods and filters, reducing data protection and cyber threat risks.

From the source
“organisations should practise data minimisation as good practice”
para 7.1

pdpc.gov.sg Show it on the map

What this connects to

2 relations. Official relations are the ones the source documents state; anything marked GAGE analysis is our reading, not an agency's.

Part of1

InstrumentPersonal Data Protection Act 2012 (No. 26 of 2012)Binding
Guideline interprets binding PDPA provision; guideline itself is not legally binding

Cited by1

SectionPart III, Using Personal Data in AI System Development, Testing and MonitoringGuidance
Structural decomposition of the source instrument

Verified against the official source on 2026-08-17. GAGE is not affiliated with or endorsed by any agency named here, and nothing on this page is legal advice. How this is built and checked.