On 10 October 2024, over 130 passionate AI community members gathered at PIXEL for an engaging meet-up dedicated to building trustworthy AI. The evening was filled with insightful presentations, demonstrations, and valuable networking opportunities, all aimed at fostering a deeper understanding of AI testing and assurance.
The event kicked off with a warm welcome from Dr Ong Chen Hui, Assistant Chief Executive of the Business and Technology Group at IMDA and the Chair of AI Verify Foundation’s Governing Council. Shameek Kundu, the newly appointed Executive Director shared Foundation’s plan and the exciting developments that the community can look forward to in the coming months.
Attendees were treated to an exciting live demo of Project Moonshotand how it can be used to conduct benchmarking and red-teaming to assess Large Language Model (LLM) applications’ performance.
The meet-up featured five distinguished speakers from the industry who provided valuable insights on various aspects of AI testing:
These presentations sparked engaging discussions and meaningful conversations among the attendees. The event concluded with a lively networking session over food and drinks. Attendees also had the opportunity to connect with peers, share insights, and explore the Project Moonshot tech clinic.
As we look forward to future events, we invite all members to continue engaging in these important discussions that shape the future of trustworthy AI.
Thank you to everyone who attended and contributed to making this event memorable! Stay tuned for upcoming meet-ups and initiatives.
Check out the post-event highlights video and photos here:
If you’re passionate about creating trustworthy AI and want to be part of a community that is shaping the future of AI, join Foundation today and stay updated on our upcoming events.
No posts found!
Be part of the growing community shaping the future of AI safety and innovation.
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?