News and Resources​

Your go-to hub for the latest updates and insights on ethical AI practices and AI testing tools.

Press release​

Press release

Singapore launches AI Verify Foundation to shape the future of international AI standards through collaboration.

Read more

AI Verify overview​

AI Verify overview

Read the primer of AI Verify to learn about our AI governance testing framework and software toolkit.
Download

AI Verify Testing Framework ​

AI Verify Testing Framework

The framework is aligned with internationally recognised AI ethics principles, guidelines, and frameworks, such as those from the EU, OECD and Singapore. The framework comprises 11 AI ethics principles, namely transparency, explainability, repeatability/reproducibility, safety, security, robustness, fairness (i.e., mitigation of unintended discrimination), data governance, accountability, human agency & oversight, and inclusive growth, societal & environmental well-being.
The framework also contains testable criteria and testing processes for each of the principles. The scope of the testable criteria may overlap and could reinforce concepts that are important in ensuring trustworthy and transparent deployment of AI.
Download

Discussion paper​

Discussion paper

This paper from Singapore’s IMDA and Aicadium raises for discussion policy ideas on building an ecosystem for trusted and responsible adoption of AI, in a way that encourages a positive loop – to spur innovation and tap on opportunities afforded AI, ever more so with the advent of Generative AI.

By sharing ideas on practical pathways for governance, the paper seeks to enhance discourse and foster greater global collaboration to ensure AI is used in a safe and responsible manner, and that the most critical outcome – trust – is sustained.
Download

Thank you for completing the form. Your submission was successful.

Preview all the questions

1

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)?

2

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?

3

Your reasons for using AI Verify – Why did your organisation decide to use AI Verify?

4

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?

5

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?

6

Your thoughts on trustworthy AI – Why is demonstrating trustworthy AI important to your organisation and to any other organisations using AI systems? Would you recommend AI Verify? How does AI Verify help you demonstrate trustworthy AI?
Enter your name and email address below to download the Discussion Paper by Aicadium and IMDA.
Disclaimer: By proceeding, you agree that your information will be shared with the authors of the Discussion Paper.