Artificial Intelligence Policy Tracker

AI policy change log

Dated, source-backed updates: what changed, the practical impact, the status after the change and the official source. Urgent and high-impact items are separated from routine updates.

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All changes (5)

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Singapore Routine Guidance

Singapore launches a starter kit for testing AI agents for safety and reliability

IMDA released a starter kit for testing agentic systems, setting out a four-step approach (identify risks, test realistically without real-world harm, analyse results and logs, monitor and retest) and metrics such as tool-use accuracy and human-intervention rates. The AI Verify Foundation named its first five accredited AI testers the same day. Recorded from press coverage; IMDA's own page was not found.

Practical impact: Teams deploying AI agents can use it to plan pre-deployment tests and ongoing monitoring.

Singapore starter kit for testing agentic AI Singapore strengthens AI safety and resilience Pending review (a factual check against the official source, not a legal review)
Singapore Routine

Update to the National AI Strategy released with 10 refreshed priorities

Milestone recorded for National Artificial Intelligence Strategy 2.0 (Singapore): Update to the National AI Strategy released with 10 refreshed priorities. Recorded from the official source listed.

National Artificial Intelligence Strategy 2.0 Update to the National AI Strategy released with 10 refreshed priorities Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)
Singapore Routine Voluntary standard

Singapore launches a Model AI Governance Framework for Agentic AI

IMDA launched a voluntary governance framework for AI agents at the World Economic Forum, covering upfront risk bounding, human accountability, technical controls across the agent lifecycle and end-user responsibility, and said it was developing testing guidelines for agentic applications. Recorded from search extracts of IMDA and MDDI pages.

Practical impact: Organisations deploying AI agents can use it as a reference for governance and controls.

Singapore agentic AI governance framework New Model AI Governance Framework for Agentic AI Pending review (a factual check against the official source, not a legal review)
Singapore Routine Voluntary standard

Singapore publishes the Model AI Governance Framework for Generative AI

IMDA and the AI Verify Foundation released a generative-AI companion to the Model AI Governance Framework with nine governance dimensions including accountability, incident reporting and content provenance.

Practical impact: Generative-AI developers and deployers in Singapore have a reference set of expected practices.

Singapore Model AI Governance Framework Model AI Governance Framework for Generative AI Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)

Disclaimer: informational only, not legal advice. Verify every claim against the linked official sources and consult a qualified lawyer before acting.

Frequently asked questions

What counts as a change?

A dated development in the life of an instrument: adoption, entry into force, an amendment, a withdrawal, a gazette notice, the opening or closing of a consultation, or guidance being issued under it. Each entry says what changed and what it means in practice, and links the official source.

How far back does the change log go?

To 2017, which is where the earliest recorded national AI strategies sit. Entries are grouped by year, and the whole log is available as an RSS feed and through the API.

Will I be told when something changes?

Follow a jurisdiction or an instrument and you will be alerted when a change is recorded against it. There is also a digest you can subscribe to. Both are free.