InstrumentGuidance

PDPC Advisory Guidelines on Use of Personal Data in Generative AI (final, 20 Jul 2026)

Is this legally binding?

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

GUIDANCE interpreting the binding PDPA across the Generative AI lifecycle (development, deployment, post-deployment): publicly available exception for web-scraped training data, AI-Specific Notifications, stakeholder responsibilities, and access/correction handling. Advisory only, not legally binding itself.

pdpc.gov.sgLanding page; full guidelines documentShow it on the map

Instrument record

Short name: PDPC GenAI Advisory 2026
Date: 2026-07-20
Version: Not versioned
Cluster: core

What this connects to

9 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
Advisory guidelines interpret binding PDPA for generative AI; not legally binding themselves

Issued by2

AgencyPersonal Data Protection Commission (PDPC)Binding
AgencyInfocomm Media Development Authority (IMDA)Guidance
Supported by IMDA (stated on guidelines cover)

Cites3

InstrumentPDPC Advisory Guidelines on Use of Personal Data in AI Recommendation and Decision Systems (1 Mar 2024)Guidance
GenAI Guidelines 'build on and should be read in conjunction with' the 2024 AI recommendation/decision guidelines
InstrumentModel AI Governance Framework for Agentic AIGuidance
Para 9.6 refers deployers of agentic GenAI systems to IMDA's Model AI Governance Framework for Agentic AI
EventPublic Consultation Opened (2 Jun 2026)Consultation
Final guidelines follow the proposed guidelines issued for consultation 2 Jun 2026

Maps across to3

External frameworkArticle 10: Data and data governanceBindingGAGE analysis, not official
PDPC GenAI data guidance aligns with Article 10 data governance
External frameworkClause 7: SupportStandardGAGE analysis, not official
Consent and notification practices align with AIMS documented information and communication
External frameworkFunction: MAPGuidanceGAGE analysis, not official
PDPC GenAI data guidance supports MAP-stage data risk identification

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