Explainable AI: Why Black Boxes Are Scary

There’s a rising demand for models that can explain themselves. It’s not enough to say 'the model denied the loan'. You need to say why. I’ve been using tools like SHAP and LIME to understand feature importance. Sometimes, you find out your model is using a biased or nonsensical feature to make decisions. It’s humbling. Explainability isn’t just a nice-to-have; in regulated industries like finance or healthcare, it’s a requirement. Building a black box is easy. Building a transparent one is hard.