AI Regulation in Singapore
Singapore relies on voluntary frameworks and practical testing tools rather than an AI law. IMDA's Model AI Governance Framework, first published in 2019 and updated in 2020, sets general principles, with later editions for generative and agentic AI. AI Verify, launched in May 2022, lets organizations test AI systems and document the results.
Financial services get the most specific expectations. The Monetary Authority of Singapore published the FEAT Principles on fairness, ethics, accountability, and transparency in November 2018. The MAS-led Veritas Consortium built assessment methods for credit scoring, customer marketing, insurance underwriting, and fraud detection. MAS proposed Guidelines on AI Risk Management in November 2025 and has said they will be finalised soon.
The Personal Data Protection Act applies to AI that processes personal data, including breach notification duties. Singapore's National AI Strategy 2.0 dates from December 2023, and a May 2026 update set 10 refreshed priorities. The Global AI Assurance Sandbox, launched in July 2025, matches generative AI builders with specialist testers.
Key themes
- 1.Voluntary Model AI Governance Framework and AI Verify testing
- 2.MAS FEAT Principles and proposed AI risk management guidelines
- 3.Personal Data Protection Act duties for AI
- 4.National AI Strategy 2.0 and its 2026 update
Regulatory frameworks and guidance(10)
Singapore's AI Verify Testing Framework
Singapore's Infocomm Media Development Authority developed this voluntary AI governance framework and toolkit. Organizations use its standardized technical tests and process checks to demonstrate responsible AI practices.
Singapore Model AI Governance Framework for Agentic AI
Singapore's IMDA launched the Model AI Governance Framework for Agentic AI in January 2026. It is the first government framework written for AI agents that plan and act on their own. It is voluntary, but organizations remain legally accountable for their agents' actions.
IMDA Model AI Governance Framework
Singapore’s media and data regulators, IMDA and PDPC, issued this voluntary AI governance framework. It guides responsible deployment through human oversight, decision accountability, and operational transparency.
MAS Guidelines on Artificial Intelligence Risk Management
The Monetary Authority of Singapore proposed Guidelines on AI Risk Management for all financial institutions in a consultation paper published on 13 November 2025. They set expectations on board oversight, AI inventories, risk materiality assessment, and life cycle controls. The consultation closed on 31 January 2026.
Principles to Promote Fairness, Ethics, Accountability and Transparency (FEAT) in the Use of Artificial Intelligence and Data Analytics in Singapore's Financial Sector
MAS FEAT is a voluntary framework for Singapore financial institutions using AI and data analytics. Its four principles are Fairness, Ethics, Accountability, and Transparency.
The 2026 Singapore Consensus on Global AI Safety Research Priorities
The 2026 Singapore Consensus sets out global AI safety research priorities, including testing methods, alignment, and control of AI agents. More than 100 contributors from 13 countries produced it after an IMDA-convened exchange in May 2026, drawn from frontier AI developers, government safety institutes, academia, and civil society.
Singapore Global AI Assurance Sandbox
IMDA and the AI Verify Foundation launched the Global AI Assurance Sandbox on 7 July 2025. It matches builders and deployers of generative and agentic AI applications with specialist technical testing firms. It offers no regulatory relief, and test results stay confidential to the participants.
Singapore National AI Strategy 2.0
Singapore's National AI Strategy 2.0, launched on 4 December 2023, sets out 15 actions over three to five years. A May 2026 update added 10 refreshed priorities, building on it rather than replacing it.
Singapore Personal Data Protection Act, AI and Automated Decision-Making Amendments
Singapore’s 2020 personal data amendments and Personal Data Protection Commission (PDPC) guidance address AI and automated decisions. They add mandatory breach notification, expanded accountability, and responsible deployment guidance under the Model AI Governance Framework.
Veritas Consortium AI Fairness Testing Methodology
Singapore's financial regulator (MAS) and a financial-sector consortium developed this assessment method for responsible AI. It applies fairness, ethics, accountability, and transparency principles to financial services.