How do you know if your AI is truly trustworthy, compliant, and ready for real-world use?

In this episode trailer, we explore the evolving field of AI evaluation from understanding why AI systems can behave unpredictably to applying structured methods that assess quality, risk, and compliance. Learn how organizations move beyond simple testing to adopt a full lifecycle approach, including evaluation-driven development, pre-release checks, and continuous monitoring after deployment.

If you're working with frameworks like the EU AI Act, ISO 42001, or NIST, this conversation gives you practical insight into turning requirements into measurable, repeatable evaluation methods so your AI is not just functional, but reliable and responsible.

👉 Are you evaluating your AI systems or just deploying them? Watch the full episode to learn how to build trustworthy AI.

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Resources & Links

Guest Links
Stella Lui

• Website: https://maven.com/
• LinkedIn: https://www.linkedin.com/in/wenxingl/

Grow Skills (Privacy Courses & Insights)

• Courses: https://growskills.store/courses/

• Insights: https://growskills.store/insights/

• Website: https://growskills.store/

FIT4Privacy

• Website: https://www.fit4privacy.com

• Podcast: https://www.fit4privacy.com/podcast

• Blog: https://www.fit4privacy.com/blog

• YouTube: http://youtube.com/fit4privacy

Punit Bhatia

• Website: https://www.punitbhatia.com

Books

• Be Ready for GDPR

• AI & Privacy – How to Find Balance

• Intro to GDPR

• Be an Effective DPO