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CT-AI — AI Testing

ISTQB · Topic 10 of 17

Quality Characteristics for AI-Based Systems

Flexibility, autonomy, evolution, bias, ethics, transparency, explainability — non-functional concerns specific to AI.

4 lessons401 questions
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What this topic covers

  1. 01ISO/IEC 25059 Overview360m
  2. 02AI-Specific Quality Characteristics360m
  3. 03Safety, Acceptance Criteria, and Ethical Considerations360m
  4. 04Chapter Review and Practice Questions480m

Other topics in CT-AI — AI Testing

Introduction to Artificial Intelligence7 lessonsIntroduction to AI6 lessonsMachine Learning Overview6 lessonsInput Data Testing6 lessonsML Data6 lessonsMachine Learning Model Testing7 lessonsML Functional Performance Metrics6 lessonsMachine Learning Functional Performance Metrics6 lessonsTesting Generative AI Systems6 lessonsTesting AI-Specific Quality Characteristics6 lessonsML Neural Networks and Testing6 lessonsTesting AI-Based Systems Overview6 lessonsTest Environments for AI-Based Systems6 lessonsMachine Learning Development Testing3 lessonsUsing AI for Testing6 lessonsMethods and Techniques for Testing AI6 lessons