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Singapore · Policy / Strategy

Singapore — National AI Strategy 2.0: AI for the Public Good

Published4 December 2023

Issued by Smart Nation and Digital Government Office (SNDGO).

Summary

Singapore’s National AI Strategy 2.0 shifted national AI policy toward systemic capability building and AI for the public good. The strategy focused on three pillars: People, Infrastructure, and Trusted Environment. It linked governance to technical testing through AI Verify and related sandbox approaches, enabling developers to assess transparency, explainability, and bias. The strategy also prioritised specialised workforce development, compute capacity, and Singapore’s role as a digital gateway for Southeast Asia, while positioning trust and capability as central to national AI adoption.

Why it matters

Three pillars of People, Infrastructure, and Trusted Environment; AI Verify testing and sandbox integration; transparency, explainability, and bias validation; workforce development; compute resource clusters; public-good orientation.

Topics

Record metadata

Country
Singapore
Region
Asia-Pacific
Organisation
Smart Nation and Digital Government Office (SNDGO)
Document type
Policy / Strategy
Status
Published
Publication date
4 December 2023
Last updated
5 July 2026
Language
English
Original source
View original source

Citation export

Plain citation

Smart Nation and Digital Government Office, National AI Strategy 2.0: AI for the Public Good, 4 December 2023.

BibTeX

@misc{singapore_national_ai_strategy_2_ai_for_public_good,
  title        = {Singapore — National AI Strategy 2.0: AI for the Public Good},
  author       = {Smart Nation and Digital Government Office (SNDGO)},
  year         = {2023},
  howpublished = {Global AI Governance Archive},
  url          = {https://www.smartnation.gov.sg/files/publications/national-ai-strategy-2.0.pdf}
}

See the citation guide for style-specific examples.

Recorded cross-references

  • UK AI Regulation White Paper
  • Hiroshima AI Process
  • Australia — Safe and Responsible AI discussion paper

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