The AI Verify Testing Framework helps companies assess the responsible implementation of their AI system against 11 internationally recognised AI governance principles. While the Traditional AI version has been available since 2022, it has now been updated to include considerations for Generative AI applications.
The framework is aligned with other international frameworks such as those from EU, G7, OECD, and US. It also complements our technical testing tools for Traditional AI and Generative AI (tool & guidelines).
Each principle has desired outcomes that can be achieved through specified processes. The implementation of these processes can be validated through documentary evidence.
Overarching consideration which AI applications should be able to adhere to
For every principle, there are desired outcomes. It could be technical and non-technical processes alongside with technical tests where applicable
Testing processes are actionable steps to be carried out to achieve the desired outcomes
These processes are validated by documentary evidence
The testing framework (generative AI) is available in a tool for you to systematically evaluate and document the responsible AI practices implemented during the deployment of your Generative AI applications.
If you use the tool to complete the process checks, you can generate a summary report that shows your alignment with AI Verify testing framework. You can also use this report to identify areas for improvement, demonstrate responsible AI practices, and build trust with your stakeholders
Start using the process checks tool today to strengthen your organisation’s AI governance, build stakeholder trust, and showcase commitment to responsible AI practices!
AI Verify testing framework is consistent with international AI governance frameworks such as those from European Union, OECD and US. The framework is mapped to other international frameworks, including:
AI Verify is an AI governance testing framework to help companies assess the responsible implementation of their AI system against 11 internationally recognised AI governance principles.
AI Verify was first developed in consultation with companies from different sectors and of different scale. These companies include – AWS, DBS Bank, Google, Meta, Microsoft, Singapore Airlines, NCS (Part of Singtel Group)/Land Transport Authority, Standard Chartered Bank, UCARE.AI, and X0PA.AI.
On 25 May 2022, AI Verify testing framework and software toolkit was launched as a Minimum Viable Product (MVP) for international pilot and feedback by IMDA and PDPC.
On 7 June 2023, AI Verify testing framework and toolkit was open-sourced in GitHub
On 29 May 2025, the updated AI Verify testing framework was released. The testing framework has been enhanced to address risks posed by Gen AI. With this update, companies can now apply AI Verify testing framework for both traditional and Gen AI use cases
Your organisation’s background – Could you briefly share your organisation’s background (e.g. sector, goods/services offered, customers), AI solution(s) that has/have been developed/used/deployed in your organisation, and what it is used for (e.g. product recommendation, improving operation efficiency)?
Your AI Verify use case – Could you share the AI model and use case that was tested with AI Verify? Which version of AI Verify did you use?
Your experience with AI Verify – Could you share your journey in using AI Verify? For example, preparation work for the testing, any challenges faced, and how were they overcome? How did you find the testing process? Did it take long to complete the testing?
Your key learnings and insights – Could you share key learnings and insights from the testing process? For example, 2 to 3 key learnings from the testing process? Any actions you have taken after using AI Verify?