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AI Verify · Testing Framework

Test your AI against 11 governance principles.

AI Verify, developed by Singapore's IMDA, is a testing framework that helps organisations assess AI systems against eleven internationally-recognised governance principles — consistent with the ASEAN, EU, OECD and US approaches. It pairs a structured process checklist with technical tests, giving you a defensible, evidence-based way to demonstrate responsible AI.

How the checklist works

Outcome → Process → Evidence.

Outcome

Describe the outcome you want to achieve for each principle.

Process

The steps you take to achieve that outcome.

Evidence

The documentary, quantitative and qualitative proof that validates the process.

The 11 principles

Internationally-recognised, audit-ready.

01

Transparency

Responsible disclosure so those affected can understand the outcome.

02

Explainability

Ability to explain how the AI reached its result.

03

Repeatability / Reproducibility

Consistent results under the same conditions.

04

Safety

The system behaves as intended and fails safely.

05

Security

Resilience against adversarial and malicious threats.

06

Robustness

Reliable performance across varied and unexpected inputs.

07

Fairness

No unintended bias against individuals or groups.

08

Data Governance

Sound provenance, quality and management of data.

09

Accountability

Clear ownership and responsibility for AI decisions.

10

Human Agency & Oversight

Meaningful human control over the system.

11

Inclusive Growth, Societal & Environmental Well-being

Broader benefit beyond the immediate use case.

Who uses it

Three audiences, one framework.

  • AI system owners / developers — to demonstrate responsible AI governance in practice
  • Internal compliance teams — to ensure responsible practices have actually been implemented
  • External auditors — to validate a client's implementation of responsible AI
Source

Independent summary of the AI Verify Testing Framework, developed by Singapore's Infocomm Media Development Authority (IMDA) and the AI Verify Foundation. Principles and structure are theirs; the commentary is ours.

Visit the AI Verify Foundation

Make "responsible AI" something you can evidence.

We run AI Verify-aligned assessments and assemble the outcome-process-evidence record — so your responsible-AI claims hold up to an auditor.

Book an assessment