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Singapore has the most developed AI governance framework in Asia, IMDA's Model AI Governance Framework, MAS's FEAT principles, the AI Verify testing toolkit, and PDPA obligations. The APAC benchmark.
Five frameworks, all active, all relevant, and largely compatible with each other.
Voluntary framework covering internal governance, determining human involvement, operations management, and stakeholder communication. Widely adopted as the baseline for Singapore AI governance.
Fairness, Ethics, Accountability, Transparency, the foundational framework. In November 2025, MAS issued a consultation paper proposing formal AI Risk Management Guidelines for all financial institutions, going beyond FEAT to cover AI inventory, lifecycle controls, and board oversight. Consultation closed January 2026; final guidelines expected 2026.
Standardised AI governance testing framework and toolkit. Enables organisations to test and demonstrate governance against defined principles. Internationally recognised.
Applies fully to AI systems processing personal data. PDPC finalised its Advisory Guidelines on the Use of Personal Data in AI Recommendation and Decision Systems in March 2024 (proposed for consultation in July 2023).
Detailed methodology for implementing FEAT assessments. Covers credit, fraud detection, and customer marketing AI use cases with specific quantitative fairness metrics.
In-depth analysis of every framework that applies.
Singapore is not just developing AI governance for domestic use, it is actively positioning itself as the AI governance standard-setter for Asia. In January 2026, IMDA released the Model AI Governance Framework for Agentic AI, extending Singapore's voluntary framework to cover autonomous AI systems, making Singapore one of the first jurisdictions globally to address agentic AI governance. The IMDA's Model AI Governance Framework is widely cited as a reference model across ASEAN AI governance discussions. AI Verify has been shared with international counterparts as a potential global assessment standard.
For organisations operating across APAC, building AI governance that satisfies Singapore's frameworks, FEAT, MAIGF, PDPA, provides the most transferable foundation for other ASEAN jurisdictions. It also positions well for EU AI Act compliance, where the underlying governance principles are substantially aligned.
Singapore-specific obligations for key sectors.
This page is a general overview of Singapore's AI governance landscape, MAS's FEAT principles and its proposed AI Risk Management Guidelines, IMDA's Model AI Governance Framework and AI Verify, and PDPA obligations enforced by PDPC, not legal or compliance advice, and it does not capture every licensing condition or sector-specific nuance. MAS's AI Risk Management Guidelines remain in consultation as of this writing and are subject to change before finalisation. Always verify current requirements against the official MAS, IMDA, and PDPC publications and your own legal counsel.