PDPC Singapore

Proposed Advisory Guidelines

Use of Personal Data in Generative AI
📅 Issued 2 Jun 2026 📋 Public Consultation
⏰ Feedback deadline: 1 July 2026
1

Publicly Available Exception

Organisations may collect and use publicly accessible personal data for GenAI development — including web scraping — without consent, provided the data is genuinely publicly available and its use is reasonable in the circumstances.

2

Data Behind Digital Barriers

Data behind paywalls, login walls, or authentication is NOT automatically excluded from "publicly available." A case-by-case assessment is required considering:

Purpose of the barrier • Complexity of access • Alternative sources availability
3

Web Scraping Best Practices

Where collecting personal data from sources with digital barriers, organisations should notify the source organisation of the intended collection as a best practice.

Critical because personal data is difficult to remove or correct once incorporated into GenAI training datasets.
4

Consent for User-Provided Data

When individuals provide personal data through products or services, organisations MUST obtain consent before using it for GenAI training — unless deemed consent or a PDPA exception applies.

Must clearly notify individuals of the purposes for which their data will be used.
5

AI-Specific Notifications Required

General or broad notifications (e.g. "product improvement") are INSUFFICIENT. Organisations must provide clear, AI-specific notifications that explicitly state their data will be used to develop or train generative AI systems.

6

Enhanced Transparency

AI-specific notifications must include sufficient detail for meaningful consent:

Functions of the GenAI model
Types of personal data used
How data is used in training/fine-tuning
How individuals may opt out or withdraw consent
7

Data Minimisation & Safeguards

Organisations must implement appropriate technical, organisational, and legal safeguards where personal data is used in GenAI development, and apply data minimisation principles.

⚡ Key Implications for Organisations

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