12. Responsible AI: Testing, Transparency and Trust with Intellect Frontier
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
12. Responsible AI: Testing, Transparency and Trust with Intellect Frontier
-
ナレーター：
-
著者：
このコンテンツについて
In this episode, Tim welcomes Matt Holmes, founder of Intellect Frontier, to explore how organisations can embed responsible AI practices from the ground up. Drawing on his expertise in red teaming, systemic testing, and AI deployment standards, Matt outlines a practical framework for building transparency, trust, and traceability into AI systems especially those used in high-consequence sectors like healthcare and education.
They discuss the critical importance of rigorous pre- and post-deployment testing, why data transparency must extend beyond the model to include everything built on top of it, and how standards could guide the future of AI regulation. Matt also shares his “Three T’s” of responsible AI—Test, Transparency, and Training—and highlights the role of dedicated AI labs in stress-testing real-world performance.
With thoughtful insight and practical takeaways, this conversation offers a timely look at how to move from experimentation to responsible scale with AI.
AI is our Business.
UKAI is the Trade Association for AI businesses across the UK. Join us, ukai.co