Traditional AI models, especially for deep learning models, are often “black boxes“—they make decisions, but humans don’t understand how. XAI solves this problem by:

✅ Building Trust – Users and businesses can trust AI decisions if they understand them.
✅ Ensuring Fairness – Helps detect biases in AI systems that could lead to unfair treatment.
✅ Legal Compliance – Some industries (like banking and healthcare) require AI decisions to be explainable.
✅ Debugging AI Models – Helps AI developers fix errors and improve accuracy.