Creating test cases is simple when we understand a software system’s inner workings. However, the AI and ML models remain unreadable in AI solutions. Businesses often know only the input-output relationships, while the AI algorithm needs to be more relevant and specific. It makes the AI’s logic a genuine ‘black box’. So, how can businesses ensure its reliability before launching it? As AI increasingly influences our daily lives, one must test it for accuracy, performance, and consistency and inspect it for biases and ethical standards.