Severity: Low Guidance SG
PDPC publishes Advisory Guidelines on use of personal data in AI recommendation and decision systems
Original title: Advisory guidelines on use of personal data in ai recommendation and decision systems
- Published
- Source: pdpc.gov.sg
- Effective
- Not stated
- Deadline
- Not stated
- Framework: Singapore PDPA
- Personal Data Protection Act 2012 (version of 16 October 2026) source
Why it matters
Singapore's Personal Data Protection Commission (PDPC) has published advisory guidelines addressing the use of personal data in AI recommendation and decision systems. These guidelines provide clarity on how organisations should manage personal data when deploying AI systems that make recommendations or decisions affecting individuals. The guidelines help organisations balance innovation with personal data protection obligations under Singapore's Personal Data Protection Act (PDPA).
What changed
- PDPC introduces guidance on personal data governance in AI recommendation systems
- Guidelines address data minimisation and purpose limitation principles in AI contexts
- Framework clarifies transparency and consent requirements for AI-driven decisions affecting individuals
- Guidance covers fairness, bias mitigation, and accountability mechanisms in AI decision systems
Who is affected
Organisations in Singapore that use personal data in AI recommendation and decision-making systems, particularly those in e-commerce, finance, human resources, and digital services sectors.
What to do
AI-assisted summary of the official document; the official text prevails. Not legal advice.