Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and transparency in AI-driven systems

Self-adaptive systems are structured to change their behaviour while running. They do this in response to changes in their environment or within the system itself, for example, to keep working properly when conditions change or when unexpected situations occur. The goal is usually to reduce the need for manual intervention and let the system handle uncertainty on its own.

Probabilistic behaviour refers to a system's behaviour governed by probability rather than being fully deterministic. In such systems, the same input or situation may lead to different outcomes, each with a certain likelihood. This approach is commonly used to model uncertainty, variability or incomplete information, for example, in machine learning systems, stochastic simulations or adaptive systems that must operate under uncertain conditions.

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I am incredibly proud to say that I was featured on Ministry of Testing The Testing Planet yesterday! 🧪✨ The whole episode was truly insightful, and it was an honour to be part of such a great plat...