AI Regulation in Singapore
Singapore has built a principles-based AI governance framework designed to position the country as a trusted hub for responsible AI development in Asia. The Monetary Authority of Singapore's FEAT Guidelines establish fairness, ethics, accountability, and transparency expectations for financial institutions using AI in customer-facing and risk decisions. The IMDA Model AI Governance Framework (2019, updated 2020) provides sector-agnostic principles for responsible AI deployment applicable to any organization operating in Singapore.
Singapore's approach is collaborative rather than prescriptive. The Veritas Consortium, led by MAS, has developed technical testing methodologies for assessing AI fairness in financial services — including credit risk, insurance underwriting, and customer segmentation — giving institutions a concrete path to demonstrating FEAT compliance. The AI Verify testing framework, developed by IMDA, provides a structured way to evaluate AI systems against governance principles and generate evidence for stakeholder reporting.
The Personal Data Protection Act (PDPA) has been updated to address AI-related data obligations, including guidance on using personal data in model training and the application of data protection requirements to automated decision-making. Singapore's regulatory environment is relatively permissive compared to the EU but increasingly structured, with growing expectations that organizations document their AI governance posture and demonstrate compliance through testing rather than policy alone.
Key themes
- 1.MAS FEAT Guidelines — fairness, ethics, accountability, transparency in financial AI
- 2.IMDA Model AI Governance Framework for responsible deployment
- 3.Veritas Consortium technical fairness testing methodology
- 4.PDPA obligations for AI training data and automated decisions
Regulatory frameworks and guidance(9)
Singapore's AI Verify Testing Framework
A voluntary AI governance testing framework and toolkit developed by IMDA that enables organisations to demonstrate responsible AI through standardised technical tests and process checks.
MDDI Response on Extending AI Governance to Agentic AI Systems
Singapore's Ministry of Digital Development and Information issued a formal parliamentary response clarifying how the Model AI Governance Framework for Agentic AI, released in January 2026, applies to autonomous AI systems. The response sets expectations around designated oversight roles, meaningful human accountability, and risk controls scaled to the degree of system autonomy. It applies to enterprises deploying agentic AI workflows and signals that such systems must be governed as autonomous actors, not treated as conventional software features.
IMDA Model AI Governance Framework
A voluntary, principles-based framework issued by Singapore's IMDA and PDPC providing organisations with detailed guidance on deploying AI responsibly, covering human oversight, decision-making accountability, and operational transparency.
MAS Guidelines on Artificial Intelligence Risk Management
The Monetary Authority of Singapore is finalizing supervisory guidelines that will set binding expectations for how financial institutions govern, deploy, and monitor artificial intelligence systems. The guidelines apply to all AI use cases, including agentic AI, and cover board-level oversight, risk frameworks, and lifecycle controls. Financial institutions regulated by MAS should anticipate formal requirements around model governance, approval workflows, ongoing monitoring, and audit trails.
Principles to Promote Fairness, Ethics, Accountability and Transparency (FEAT) in the Use of Artificial Intelligence and Data Analytics in Singapore's Financial Sector
The MAS FEAT Principles establish a voluntary but authoritative framework for financial institutions in Singapore to govern the responsible use of AI and data analytics, structured around four principles: Fairness, Ethics, Accountability, and Transparency.
Singapore Global AI Assurance Sandbox
The Singapore Global AI Assurance Sandbox provides a controlled regulatory environment for organizations to test and validate AI systems against safety, reliability, and accountability standards before or during deployment. It is open to enterprises and AI developers seeking structured assurance pathways under Singapore regulatory oversight. Participants operate under defined sandbox conditions that temporarily relax certain compliance obligations in exchange for structured testing commitments and reporting.
Singapore National AI Strategy 2.0
Singapore's updated national blueprint for AI development and governance, articulating the country's ambition to be a centre of excellence for trusted, responsible, and impactful AI.
Singapore Personal Data Protection Act, AI and Automated Decision-Making Amendments
The Personal Data Protection (Amendment) Act 2020 and accompanying PDPC advisory guidelines address the use of personal data in AI and automated decision-making, introducing mandatory data breach notification, expanded accountability obligations, and guidance on responsible AI deployment under Singapore's Model AI Governance Framework.
Veritas Consortium AI Fairness Testing Methodology
A sector-specific AI fairness, ethics, accountability, and transparency (FEAT) assessment methodology developed by MAS and a consortium of financial institutions to operationalise responsible AI in financial services.