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 our Global AI Assurance Pilot participants.
Making AI reliable, trustable – some might even say boring and predictable – for adoption at scale.
Read all case studies here.
Read the main report from Pilot here.
Here’s what we explored together during the interactive panel discussions:
This is how we build trusted AI, together — by testing the real-world, human-impacting cases, and sharing the processes and learnings with one another.
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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?