Kurt In Albon, MSc

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🤖 Is the gap between AI potential and QA reality closing or widening?

In many organizations, the "move fast" mentality of AI development is colliding head-on with the "ensure safety" mandate of Quality Assurance. We see teams implementing automated validation tools before they have a governance framework to support them.

This is exactly why I am thrilled to join the upcoming Scilife webinar. We aren't just going to talk about the theory of AI—we are going to talk about the "dirty work" of making it compliant and reliable in a regulated environment.

✅ The shift from "checking boxes" to "judgment-led" quality oversight

✅ Real-world examples of data integrity failures in ML models

✅ How to maintain accountability when the "author" of a process is an algorithm

✅ Practical steps for QA leaders to become strategic partners in AI adoption

📅 March 15, 2026 | 10:00H (CET)

Register here: https://lnkd.in/example-link

I am very much looking forward to a lively discussion—and please, come prepared to challenge us with your toughest questions! 🚀 ❓ 👍

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