Metamorphic testing helps solve the problem of not knowing what the expected results should be. By defining relationships between inputs and outputs, we can check that AI models behave consistently, making them more reliable.

Think of edge cases like unexpected guests at a party; you need to be prepared for them, or things can quickly get out of hand.

Discover how these innovative testing strategies can help uncover hidden flaws and prepare AI systems for unpredictable real-world scenarios