Lifecycle data mapping
Trace personal data through collection, model development, testing, retrieval, prompts, outputs, logs, retention, and deletion.
PDPA compliance for AI systems in Singapore
By Nuvexia Advisory Team
AI Governance Consulting
29/08/2026
PDPA
Nuvexia helps Singapore businesses align AI systems with the Personal Data Protection Act 2012, including the PDPC's guidance for AI recommendation and decision systems and its 2026 consultation on personal data in generative AI. Our work covers data mapping, purpose and consent reviews, transparency, vendor risk, and documented accountability.
The regulatory position
The PDPA applies whenever an organisation collects, uses, or discloses personal data through an AI system. The technology does not create an exemption. Core duties include notifying people of purposes, limiting use to appropriate purposes, protecting data, maintaining accountability, handling access and correction requests, and notifying qualifying breaches.
The PDPC finalised its Advisory Guidelines on Use of Personal Data in AI Recommendation and Decision Systems in February 2024. Those guidelines address how organisations can use personal data to develop and deploy systems that make recommendations or decisions, including what they should tell affected people.
On 2 June 2026, the PDPC issued proposed guidance for personal data in generative AI. The consultation closed on 1 July 2026. The draft addresses model development, testing, deployment, procurement, publicly available training data, and responsibility across model providers, system providers, and deployers.
How Nuvexia helps
PDPA gap assessment
Test each use case against purpose, notice, consent, access, protection, retention, transfer, and accountability duties.
User transparency
Draft notices and decision explanations that describe what the AI does, which data it uses, and how people can seek help.
Supplier review
Examine hosted models, AI features in SaaS products, overseas transfers, subprocessors, and data intermediary terms.
Questions every AI data review should answer
- What personal data enters the system, including prompts, files, logs, and derived attributes?
- What is the stated purpose for each use, and would a reasonable person consider it appropriate?
- Is data retained by the model provider or used to improve its services?
- Can people understand when an AI recommendation affects them and how to challenge it?
- Which organisation is responsible for each stage of the AI supply chain?
- What happens if the model exposes personal data or generates an incorrect personal claim?
Who this is for
- Businesses using AI recommendations or decisions that affect customers
- Teams training or fine-tuning models with customer or employee information
- Organisations procuring generative AI tools that process personal data
- Data protection officers who need an AI-specific control and evidence set
Frequently asked questions
Does the PDPA apply to AI systems?
Yes. Standard PDPA obligations apply when AI collects, uses, or discloses personal data for training, testing, inference, personalisation, or decisions. PDPC guidance explains how those obligations apply to common AI practices.
What do the proposed PDPC generative AI guidelines cover?
The June 2026 consultation draft covers personal data across generative AI development, testing, deployment, and procurement. It also discusses accountability across the supply chain and the treatment of publicly available data.
Have the proposed generative AI guidelines been finalised?
The consultation closed on 1 July 2026. The source material for this page did not identify a final publication as of 29 August 2026. Confirm the current position on the PDPC website before acting on the draft.
Is PDPA compliance the same as AI Verify?
No. The PDPA is law. AI Verify is voluntary and covers a wider set of responsible AI principles. Many organisations address both, but one does not replace the other.