ISTQB AI Testing Certification - Chapter 2 Quality Characteristics for AI-Based Systems

In chapter 2 of the ISTQB AI testing syllabus, you will dive into what makes AI-based systems unique! Flexibility lets systems handle new scenarios, while adaptability ensures they adjust to changing environments. Autonomy means operating without human oversight, critical for systems like self-driving cars. Evolution is key for self-learning AI to improve over time, but it must stay aligned with human values. You’ll learn about biases—algorithmic and sample—that can skew results and how to address them. Ethics guide fair AI development, while transparency, interpretability, and explainability ensure we understand AI decisions. Safety is crucial, especially in high-stakes applications, where testing these qualities ensures reliable, trustworthy AI systems.

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