What is the Singapore AI Framework?
Singapore AI Framework approach is anchored in the National AI Strategy (NAIS), which outlines the country’s goals for safe, trustworthy, and effective AI adoption. NAIS sets the overall direction and serves as the foundation for Singapore’s governance expectations. Building on these principles, Singapore introduced the Model AI Governance Framework (updated in 2024) to translate NAIS into practical guidance for organizations, including specific considerations for generative AI. This framework is supported by tools such as AI Verify, which help organizations test, evaluate, and validate their AI systems. In addition, existing regulations like the PDPA and the Cybersecurity Act continue to apply to AI indirectly by covering data protection and security requirements. While Singapore’s AI governance model is voluntary rather than legally binding, together these frameworks provide the primary structure and reference point for organizations developing or deploying AI within Singapore.
What are the requirements for the Singapore AI Framework?
The Singapore AI Framework sets out its expectations through nine core Functions, which together define the full lifecycle of responsible and trustworthy AI. Organizations aligning with the framework should demonstrate maturity, controls, and oversight across all of the following areas:
- Accountability -Organizations must establish clear governance roles and responsibilities, define decision-making authority, and ensure leadership oversight throughout the AI lifecycle.
- Data – Strong data governance is required, including data quality, fairness, privacy protections, and compliance with relevant laws such as the PDPA. Data handling must be transparent and secure.
- TrustedDevelopment & Deployment
- Trusted Development – AI models should be developed using structured, ethical, and well-documented processes. This includes applying safeguards, assessing risks early, and ensuring models are built responsibly from the outset.
- Trusted Deployment– Organizations must manage how AI systems are released, integrated, and used in real environments. Deployment should follow established procedures that prevent misuse, drift, or unintended outcomes.
- Incident Management– Clear processes must be in place to detect, report, and address model failures, harmful outputs, or unexpected behaviors. Organizations must be able to respond quickly and provide meaningful redress when needed.
- Testing & Assurance – AI systems should undergo continuous testing and validation to confirm performance, explainability, fairness, and reliability. Singapore encourages the use of tools like AI Verify to support structured evaluation.
- Security – Organizations must safeguard AI systems and their supporting infrastructure from unauthorized access, manipulation, or vulnerabilities that could compromise model integrity or outputs.
- Content Provenance – The framework requires the ability to trace and verify AI-generated or AI-processed content, ensuring transparency, authenticity, and responsible downstream use.
- Safety & Alignment – AI systems must consistently operate in alignment with intended outcomes, ethical standards, and organizational values. This includes safeguards for high-impact or generative models and protection against harmful or misaligned behavior.
- AI for Public Good – Encouraging the use of AI in ways that benefit society, including widening access to AI tools, supporting government adoption, upskilling the workforce, and promoting sustainable AI development.
These nine Functions form the core structural requirements for organizations seeking to align with Singapore’s national expectations for safe and responsible AI.
Why should you be Singapore AI compliant?
Compliance with the Singapore AI Framework helps organizations strengthen trust and credibility by showing they operate AI systems responsibly, transparently, and with proper risk controls. It minimizes exposure to common AI risks such as bias, algorithmic errors, vulnerabilities, and misuse—all of which can result in reputational harm or regulatory challenges under related laws like the PDPA.
Organizations that choose not to follow the framework may face increased operational risks, competitive disadvantages, and difficulty meeting future regulatory expectations as Singapore continues to expand its AI governance landscape. Adhering to the framework demonstrates a proactive, leadership-driven approach to ethical AI use and positions organizations ahead of emerging global AI standards.
How to achieve compliance?
Compliance with the Singapore AI Framework helps organizations strengthen trust and credibility by showing they operate AI systems responsibly, transparently, and with proper risk controls. It minimizes exposure to common AI risks such as bias, algorithmic errors, vulnerabilities, and misuse—all of which can result in reputational harm or regulatory challenges under related laws like the PDPA.
Organizations that choose not to follow the framework may face increased operational risks, competitive disadvantages, and difficulty meeting future regulatory expectations as Singapore continues to expand its AI governance landscape. Adhering to the framework demonstrates a proactive, leadership-driven approach to ethical AI use and positions organizations ahead of emerging global AI standards.
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