AI Regulation in Singapore
Singapore has 16 tracked AI regulatory updates across 1 frameworks. This page provides an overview of the current regulatory landscape, upcoming deadlines, and recent enforcement activity.
Upcoming Deadlines
Singapore AI Safety Red Teaming Challenge 2026 conducted
Artificial Intelligence in SingaporeRecent Regulatory Updates
Singapore updates its Model AI Governance Framework for Agentic AI
IMDA updated its agentic AI governance framework in May 2026, so organizations using autonomous or multi-agent systems should refresh their control assumptions, human accountability model, and end-user transparency now.
Singapore PDPC advisory guidelines on personal data in AI recommendation and decision systems
PDPC finalized advisory guidelines on the use of personal data in AI recommendation and decision systems, clarifying PDPA expectations for training and deployment workflows that use personal data.
Singapore publishes Model AI Governance Framework for Agentic AI
IMDA published Version 1.0 of the Model AI Governance Framework for Agentic AI on 2026-01-22, creating immediate governance expectations for autonomous AI systems that reason and act on their own.
Singapore Model AI Governance Framework for Agentic AI
Singapore released a Model AI Governance Framework for Agentic AI on January 22, 2026, adding practical controls for bounded autonomy, human checkpoints, technical safeguards, and transparency that organizations should adopt before expanding agentic deployments.
Singapore Model AI Governance Framework for Agentic AI
Singapore’s January 22, 2026 agentic-AI framework extends the Model AI Governance Framework to autonomous systems, so organizations deploying agentic AI should update accountability and control design now.
Singapore Advisory Guidelines on Personal Data in AI Recommendation and Decision Systems
Singapore’s advisory guidelines on AI recommendation and decision systems set expectations for consent, notice, minimization, security, and DPIAs, so organizations should align current processing now.
Singapore Launches Model AI Governance Framework for Agentic AI
Singapore’s new Model AI Governance Framework for Agentic AI expands practical governance guidance for autonomous systems, so organizations using agentic AI should update controls now.
Singapore launches PET guide and AI assurance sandbox
Singapore launched new tools in July 2025, including a PET adoption guide and a Global AI Assurance Sandbox, to support safer AI deployment and stronger data-protection practice.
PDPC advisory guidelines for AI recommendation and decision systems
Singapore’s PDPC has issued advisory guidelines clarifying how personal data may be used to train or develop AI recommendation and decision systems and what information should be given to consumers when consent is sought.
Singapore Model AI Governance Framework for Agentic AI
IMDA’s January 2026 framework gives enterprises a new governance playbook for agentic AI, stressing that humans remain accountable and that organisations must bound agent autonomy, tool access, and lifecycle risks.
PDPC AI recommendation and decision systems and synthetic data guidance
The PDPC’s advisory materials on AI recommendation/decision systems and synthetic data provide practical privacy guidance for training and deploying AI, especially where personal data or synthetic substitutes are used.
Singapore Model AI Governance Framework for Agentic AI
IMDA’s January 2026 Agentic AI framework gives enterprises a new governance baseline for AI agents that can take actions on users’ behalf, emphasizing boundaries, checkpoints, and human accountability.
Proposed Advisory Guidelines on the use of Personal Data in AI Recommendation and Decision Systems
Singapore’s proposed advisory guidelines on personal-data use in AI recommendation and decision systems are in consultation form, so organizations should prepare to align data-use, protection, and governance practices before final guidance is issued.
Redefining AI Safety for a Multimodal and Multicultural World
IMDA’s 2026 commentary highlights the growing safety gap for multimodal and multilingual AI and underscores that organizations need context-aware testing and assurance now, especially for high-stakes use cases.
Artificial Intelligence in Singapore
IMDA’s AI governance materials continue to expand Singapore’s voluntary assurance toolkit, including the 2026 Model AI Governance Framework for Agentic AI and the LLM safety starter kit, so organizations deploying agentic or generative AI should align their controls now.
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