Testing AI Systems: From Theory to Practical Test Strategies

AI-based systems are changing how software behaves, learns, and evolves. Testing these systems requires approaches that go beyond traditional QA practices. In this webinar, we’ll explore how to effectively test AI systems, understand their unique challenges, and apply the right metrics and techniques.

### What you’ll learn:

• The difference between testing AI systems and using AI to support software testing
• Key challenges of AI-based systems, including:
• Autonomy and self-learning
• Continuous evolution
• Probabilistic and non-deterministic behavior
• Essential machine learning performance metrics:
• Accuracy
• Precision
• Recall
• Practical test techniques for AI systems:
• Pairwise testing
• Back-to-back testing
• Metamorphic testing
• A/B testing