The Singapore AI Safety Institute (AISI) was officially designated by the Infocomm Media Development Authority (IMDA) in May 2024, building on the Digital Trust Centre (DTC) established at Nanyang Technological University (NTU) in 2022. The institute drives Singapore's AI evaluation and testing work, coordinates the national research ecosystem, and establishes international partnerships with peer AI safety institutes in the US, UK, EU, Japan, Korea, and Canada. Its work spans four domains: policy making, engineering tools, testing, and research. It serves as Singapore's focal point for science-based input to AI governance and as a bridge between technical AI safety research and regulatory frameworks.
The Singapore AI Safety Institute (AISI) was officially designated by the Infocomm Media Development Authority (IMDA) in May 2024, building on the Digital Trust Centre (DTC) established at Nanyang Technological University (NTU) in 2022. The institute drives Singapore's AI evaluation and testing work, coordinates the national research ecosystem, and establishes international partnerships with peer AI safety institutes in the US, UK, EU, Japan, Korea, and Canada. Its work spans four domains: policy making, engineering tools, testing, and research. It serves as Singapore's focal point for science-based input to AI governance and as a bridge between technical AI safety research and regulatory frameworks.
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Theory of Change
The Singapore AISI operates on the belief that systematic technical evaluation and international standards-setting for AI safety can reduce risks from advanced AI systems. By conducting rigorous research on AI evaluation methodologies, convening international scientific consensus on safety research priorities, running red-teaming exercises to identify model vulnerabilities, and translating technical findings into science-based governance frameworks, the institute aims to make AI systems more trustworthy and reduce catastrophic risks as Singapore and the Asia-Pacific region adopt AI at scale. International collaboration with peer AISIs is central to this approach, ensuring that safety norms and testing standards are globally consistent and that no single jurisdiction develops unsafe AI in isolation.
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- Last Updated
- Apr 7, 2026, 8:27 PM UTC
- Created
- Apr 7, 2026, 6:28 PM UTC