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.
Press Release – AI Tester Accreditation Programme
AIVF has announced an accreditation programme to codify what good AI testing looks like. This is the first programme of its kind in Asia that recognises competent third-party AI testing service providers. This programme will build on the insights from the Global AI Assurance Sandbox.
Recap of AI Assurance Exchange @ ISE and ATxSummit 2026
Real applications. Real testing. Real trust. Real impact. As AI systems become more capable and autonomous, the question is no longer whether AI will shape industries and societies but whether people can trust it to do so safely and reliably. At International Scientific Exchange on AI Safety and ATxSummit 2026 week, Singapore took another step […]
AI Assurance Exchange: Standards in Action
On 21 April 2026, more than 250 global standard-setters, policymakers, and industry practitioners gathered for the AI Assurance Exchange: Standards in Action to examine the evolving landscape of AI testing, assurance, and trustworthiness—and how these standards can be applied in real-world contexts. This event was hosted as part of the International Organization for Standardization / […]
Future of AI Generated Code
“Now your entire workflow is a risk area, and that significantly expands the surface of risk.” This observation from Edward Yee, Growth and Strategy Lead at FAR.AI, set the tone for an evening that challenged how we think about trustworthy AI generated code and software. On 14 March 2026, over 80 members of the AI […]
Making AI Assurance Work In The Real World
In our first community event of the year, the AI Verify Foundation brought together 220 deployers, 3rd-party testers, policymakers, and researchers to bridge the gap between AI potential and AI reliability. https://www.youtube.com/embed/X8WrFipPopk This session was part of the week-long AI Assurance Base Camp organised by IMDA, held alongside Singapore’s AI Research Week and the AAAI conference. In […]
AI Assurance: Reflections, Insights, and Readiness for 2026
On 19th November 2025, we hosted our last community meet up of the year and over 100+ AI assurance and industry practitioners joined us to reflect, share, and prepare for challenges and opportunities coming up in 2026. Fourtitude.asia and Dynamo AI shared their insights from their real-world testing journey as part of the Global AI […]
Building trust, driving innovation: AI Governance lessons from Japan and Singapore
Japan and Singapore are carving distinct yet complementary paths in AI governance — both aimed at enabling trust and driving innovation across industries. On 10 September 2025, AIVF and Google hosted Prof Hiroki Habuka (Research Professor at the Graduate School of Law, Kyoto University, and the CEO of Smart Governance Ltd.) and Wan Sie Lee […]
Beyond the Hype: AI Testing Lessons from the Public Sector
In high-stakes use cases, testing AI systems for reliability and safety is essential. And the stakes don’t get much higher than in the public sector! So, for our August meetup, we brought 90+ practitioners from the public and private sector together. We invited a few best-in-class GenAI dev and testing practitioners from the public sector […]
Testing Agentic AI systems in the real world
Over 100 members of our community joined us at IMDA to share and learn real-world stories about making Agentic AI reliable. Here’s what each of our speakers covered: Wan Sie Lee (IMDA) set the session in context: industry exchanges like this one provide critical inputs into Singapore’s AI policy efforts, such as the IMDA starter kit for […]
Press Release – Global AI Assurance Sandbox
AIVF and IMDA have launched the Global AI Assurance Sandbox. This sandbox builds on pilot insights to connect companies deploying AI with testers to test real world applications. Deployers of GenAI solutions can demonstrate reliability of their solutions, and help testers refine their testing approach.
Testing Real World Gen AI Systems: Lessons from the Global AI Assurance Pilot
GenAI can have a massive, positive impact on our society and economy – if it is adopted at scale in public and private sector organisations. Using GenAI in such real-world situations, at scale, raises the quality and reliability bar significantly. On May 30, we brought together almost 100 GenAI practitioners and ecosystem players together with […]
AI Assurance Roundtable: Lessons from the Global AI Assurance Pilot
🚀 100+ participants. 33+ companies. 9 geographies. 10 industries. Hundreds of hours. Together with its parent IMDA, the AIVF launched the Global AI Assurance Pilot in February 2025, to help codify emerging norms and best practices around technical testing of Generative AI (“GenAI”) applications. The Pilot: Paired AI assurance and testing providers with organisations deploying […]
Press Release – Findings from the Global AI Assurance Pilot
AIVF and IMDA have released the insights and case studies from the Global AI Assurance Pilot today at the Asia Tech x Summit 2025. The pilot aims to catalyse emerging norms and best practices around technical testing of Generative AI applications.
Launched in February 2025, the pilot received enthusiastic responses from industry, in Singapore and beyond. The pilot brought together a coalition of 100+ enthusiastic individuals from 30+ organisations. Between March and May 2025, deployers of GenAI applications partnered with specialist GenAI testing firms to get their GenAI applications tested.
Press Release – Enhanced AI Verify Testing Framework and Crosswalk with US NIST
The AI Verify Testing Framework has undergone significant enhancements to address the challenges of Generative AI. This update by IMDA offers organisations a comprehensive tool to build trust and ensure responsible AI deployment – for both traditional and generative AI systems.
The AI Verify Testing Framework for Traditional AI was first released in 2022. It enables organisations to assess their AI systems against 11 internationally recognised AI governance principles. A crosswalk to US NIST AI Risk Management Framework was also released in 2023.
In continued collaboration with US NIST, IMDA also released a crosswalk that maps the enhanced Framework with NIST AI Risk Management Framework: Generative AI Profile today. This reaffirms the alignment between our two countries’ AI governance frameworks, and reflects our shared commitment to cooperation. As announced by the Minister for Digital Development and Information Mrs Josephine Teo at the Asia Tech x Summit 2025, the mapping of frameworks will make it easier for businesses operating in both Singapore and the US to meet their AI safety obligations in both countries.