XAI (Explainable AI)

Friendly Description: Explainable AI, or XAI, is the work of making AI's decisions easier for people to understand. Many AI models are like black boxes, you put something in and get an answer out, but it's hard to see why. XAI tries to open that box, showing which factors mattered most, so people can trust, verify, and improve the system.

Example: If an AI denies a loan application, XAI techniques can show the applicant which factors weighed most heavily in the decision, like income, debt-to-income ratio, or payment history. That transparency helps people understand the outcome and can be required by law in many regions.