Artificial Intelligence is no longer a futuristic concept — it’s embedded in everything from recommendation engines and fraud detection to voice assistants and autonomous systems. But as AI continues to influence critical business decisions, one pressing challenge emerges: can we trust AI if we don’t understand how it works?

In the ever-evolving world of software development, quality assurance (QA) has always played a pivotal role. With the rise of complex applications and shorter development cycles driven by Agile and DevOps methodologies, the need for faster, smarter, and more efficient testing has never been greater. Enter Artificial Intelligence (AI) — the