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Advisory Guidelines on Use of Personal Data in AI Recommendation and Decision Systems

PDPC clarifies how PDPA applies to AI recommendation and decision systems — giving organisations certainty when using personal data to train and run AI.

Why it matters

Using Business Improvement Exception to replace case-by-case consent, PDPC by March 2024 had lowered AI training data compliance thresholds to an actionable level, forming a dual legal basis with copyright law section 244.

Category
Sector Regulation
Published / Updated
2024-03
Issuing body
Personal Data Protection Commission (PDPC)
Parliament links
8 records

Strategic Context

Parliament links

8 parliamentary records linked.

Detailed Notes

In March 2024, PDPC issued the Advisory Guidelines on Use of Personal Data in AI Recommendation and Decision Systems, spelling out how the PDPA applies in concrete AI scenarios. The guidelines cover three common situations: (1) using personal data to train, test, and monitor AI models — which can rely on the Business Improvement Exception or Research Exception, subject to reasonableness, data minimisation, and de-identification thresholds; (2) using AI for recommendations or decision-making — which triggers notification and consent obligations, and where decision-making applications must inform data subjects; (3) best-practice templates for Data Protection Impact Assessments (DPIA). This is the key document by which PDPC translates the 2020 PDPA amendments (legitimate interests, Business Improvement Exception) into an operational handbook for AI deployment, forming — together with Section 244 of the Copyright Act — Singapore's dual legal foundation on the training side.

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Cite this record

Singapore AI Observatory. Advisory Guidelines on Use of Personal Data in AI Recommendation and Decision Systems. Retrieved 2026-08-31, https://sgai.md/policies/pdpc-advisory-guidelines-on-use-of-personal-data-in-ai/

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