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

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.

Summary generated by a language model; the official text prevails. Not legal advice.