Singapore Model AI Governance Framework

Singapore was ahead of the curve with this one. While everyone else was writing AI ethics principles, Singapore's Model AI Governance Framework actually showed how to implement them at scale. It's practical, detailed and comes with real tools—including AI Verify, an open-source testing toolkit that lets you actually measure whether your AI systems are behaving responsibly.

The framework breaks down responsible AI into concrete actions across the AI lifecycle. It covers everything from internal governance structures through to transparency with users. What sets it apart is the level of practical detail: not just 'be transparent' but how to achieve transparency for different types of AI in different contexts. They've updated it specifically for generative AI and agentic AI, so it stays relevant as technology evolves.

For Australian organisations, this is particularly useful if you're operating in Asia-Pacific markets. Singapore's approach has influenced AI governance across the region, and their framework is widely recognised and respected. If you're building AI products for deployment across multiple jurisdictions, Singapore's model provides a solid middle ground—rigorous enough to satisfy regulators but flexible enough to work across different legal systems. The Implementation and Self-Assessment Guide for Organisations (ISAGO) is especially helpful if you're trying to operationalise AI governance principles. We often reference it when helping clients move from 'what' they should do to 'how' they should do it.