Singapore · Framework
Singapore — Model AI Governance Framework for Agentic AI
Issued by Infocomm Media Development Authority and AI Verify Foundation.
Summary
Singapore’s Model AI Governance Framework for Agentic AI provides organisational guidance for deploying AI agents responsibly. It centres on four dimensions: selecting and bounding appropriate use cases, making humans meaningfully accountable through defined approval checkpoints, implementing technical controls across the agent lifecycle, and enabling responsible end use through transparency and training. Version 1.5, published in May 2026 after industry consultation, adds case studies and practices for multi-agent systems, third-party agents and automation bias.
Why it matters
Upfront risk assessment and limits on agent powers; meaningful human accountability and approval checkpoints; lifecycle technical controls and monitoring; end-user transparency and training; additional guidance on multi-agent systems, third-party agents and automation bias.
Governance themes
Topics
Record metadata
- Country
- Singapore
- Region
- Asia-Pacific
- Governance themes
- AI governance, Risk management, Accountability, Transparency, Safety
- Document type
- Framework
- Status
- Published
- Publication date
- 22 January 2026
- Added to archive
- 9 November 2026
- Archive record last updated
- 9 November 2026
- Language
- English
- Original source
- View original source
Citation export
Plain citation
IMDA and AI Verify Foundation, Model AI Governance Framework for Agentic AI, version 1.0, 22 January 2026; updated version 1.5, May 2026. Global AI Governance Archive. https://archive.reitaw.com/documents/singapore-model-ai-governance-framework-agentic-ai.
BibTeX
@misc{singapore_model_ai_governance_framework_agentic_ai,
title = {Singapore — Model AI Governance Framework for Agentic AI},
author = {Infocomm Media Development Authority and AI Verify Foundation},
year = {2026},
howpublished = {Global AI Governance Archive},
url = {https://www.imda.gov.sg/-/media/imda/files/about/emerging-tech-and-research/artificial-intelligence/mgf-for-agentic-ai.pdf},
note = {Archive record: https://archive.reitaw.com/documents/singapore-model-ai-governance-framework-agentic-ai},
}See the citation guide for style-specific examples.
Reita's Notes
Current archive entry should refer to the May 2026 v1.5 update as well as the January launch.
Recorded cross-references
- Singapore — National AI Strategy 2.0: AI for the Public Good
- Singapore — Model AI Governance Framework for Generative AI
Related Entries
- ChinaFramework14 September 2026
China — Artificial Intelligence Safety Governance Framework 3.0
China’s Artificial Intelligence Safety Governance Framework 3.0 updates the national reference framework first issued in 2024. Prepared by TC260 under the guidance of the Cyberspace Administration of China, it retains th…
- European UnionRegulation24 July 2026
European Union — Digital Omnibus on AI Regulation (EU) 2026/1744
Regulation (EU) 2026/1744, the Digital Omnibus on AI, amends the EU AI Act and related product-safety legislation to simplify implementation. It preserves the Act’s general application from 2 August 2026 but defers the p…
- InternationalReport16 September 2026
OECD — Agentic AI in Organisations: Early Insights from Practitioner Interviews
This OECD working paper examines how agentic AI is being developed, deployed and governed in practice. Based on interviews with organisations across regions and sectors, it documents emerging applications, expected benef…
- United StatesGuidance19 August 2026
United States — NIST Cybersecurity Framework 2.0: Quick-Start Guide for Using Artificial Intelligence (AI) for CSF Analysis and Reporting (NIST SP 1353, Initial Public Draft)
NIST SP 1353 explores how generative AI can support organisations using the NIST Cybersecurity Framework 2.0. It provides structured prompts and practical use cases for activities including reviewing organisational cyber…
- AustraliaPolicy / Strategy17 January 2024
Australia — Safe and Responsible AI in Australia Government Interim Response
Australia’s government interim response to the Safe and Responsible AI consultation proposed a differentiated approach to AI governance. Rather than adopting a single generic standard, it suggested mandatory safeguards f…
This archive is provided for research and informational purposes. It should not be interpreted as legal or regulatory advice.