The Black Box Problem: Why We Need to Understand AI

In this episode of Tech as it is, Ursula Paul breaks down one of the most important challenges in modern AI: the black box problem.What does it really mean when people say AI is a “black box”? Why does interpretability matter? And why should enterprises especially in fintech and healthtech care about understanding how AI systems make decisions?Using real-life examples from healthcare and financial systems, Ursula explains interpretability in simple, human terms. Because when AI affects money, health, or opportunity, mystery is not good enough.If AI is going to power serious systems, it must be understandable.